diff --git a/job-postings/30-03-2025/1.txt b/job-postings/30-03-2025/1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4ca4d761ec515368ac4d42a1d523768b0bfee86 --- /dev/null +++ b/job-postings/30-03-2025/1.txt @@ -0,0 +1,53 @@ +Voyager (94001), India, Bangalore, Karnataka + +Principal Associate- Machine Learning Engineer + +At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. + +We’re looking for a Principal Associate to join the Machine Learning Experience (MLX) team! + +As a Capital One Principal Associate - ML Engineer, you'll be part of a team focusing on observability, model monitoring and governance automation for cutting edge platforms using generative AI. You will work on building solutions to collect metadata, metrics and insights from the large scale Machine learning platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards. + +You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. + +The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. + +What You’ll Do: + +Lead the design and implementation of observability tools that provide actionable insights into platform performance and health. Building complex solutions to generate automated workflows for goverance and capturing valuable insights. +Leverage Generative AI models and fine tune them to enhance observability capabilities, such as anomaly detection, predictive analytics, troubleshooting copilot and automating manual reporting. +Build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training, pre-training, fine-tuning and prompting. +Stay abreast of the latest trends in Generative AI and platform observability, and drive the adoption of emerging technologies and methodologies. +Bring research mindset, lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity. + +Basic Qualifications: + +Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. +Proficiency in at least one programming language (preferably Python or Go, but others like Java, Rust, or C++ are acceptable). +Minimum 4 years of experience in Machine Learning Engineering, with hands-on exposure to ML model lifecycle (MDLC), including data preprocessing, model training, evaluation, deployment, and monitoring. +Experience in model performance evaluation using metrics like accuracy, precision-recall, F1-score, AUC-ROC, RMSE, MAPE, etc. +Strong foundation in ML algorithms (regression, classification, clustering, time series forecasting, etc.) and understanding of bias, drift, and explainability. +Minimum 3 years of experience with ML frameworks, such as scikit-learn, PyTorch, TensorFlow, Spark, or Dask, for traditional and GenAI model development. +Minimum 2 years of experience with Generative AI, specifically in building solutions for automated report generation, insights summarization, or assistive intelligence using LLMs, RAG, or Semantic Kernels. +Understanding of building microservices based distributed systems, and knowledge of event driven architecture. +Experience with cloud platforms like AWS, Azure, or GCP. + +Preferred Qualifications: + +Experience in machine learning, particularly in deploying and operationalizing ML models. +Familiarity with container orchestration tools like Kubernetes and Docker. +Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. +Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. +Contributed to open source ML software. +Authored/co-authored papers, patents on ML techniques, models, or proof of concept. +Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. + +No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. + +For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com + +Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. + +Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \ No newline at end of file diff --git a/job-postings/30-03-2025/10.txt b/job-postings/30-03-2025/10.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3b12df5cdfbb2ffe77627533f649186b0d58d17 --- /dev/null +++ b/job-postings/30-03-2025/10.txt @@ -0,0 +1,37 @@ +Junior Data Scientist/Machine Learning Engineer + +Location: Cologne, hybrid +Contract: Permanent + +Are you interested in the next big challenge? +Our client is a big (2k employees in all major cities in Germany) company with several digital products and services on the market that make easier daily life of their customers. +You will find the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves. +Now they are looking for a Junior Data Scientist/Machine Learning Engineer with a strong interest in building end-to-end solutions. + + +Requirements: + +Good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics +First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems +Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow) +Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products +Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community +Very good written and spoken German and English skills + +Responsibilities: + +You are significantly involved in setting up a data science department, automating related business processes and delivering individually tailored results to the customers +You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptual design, data preparation, model training and evaluation, and subsequent preparation for go-live +You manage your training experiments with modern MLOps frameworks such as MLFlow and help to take the product to the next level +You integrate your models into the product both in terms of content and technology, using cloud technologies (AWS) for example and in close cooperation with the development team +You keep yourself up to date with the latest developments in machine learning and think with your team about how you can use generative AI models such as Transformers or ChatGPT, for example +You work in a cross-disciplinary team in direct cooperation with product managers, developers and business intelligence managers + +Benefits: + +Flexible working time model with four days per week in the office and one day flexibly from the office or from home. +Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential. +Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc. +Independent, agile work in small teams with a strong team spirit. Short decision-making processes. +An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work. +And much more. \ No newline at end of file diff --git a/job-postings/30-03-2025/100.txt b/job-postings/30-03-2025/100.txt new file mode 100644 index 0000000000000000000000000000000000000000..a47eaff889fd264a490b8b54446d03c20bb627b0 --- /dev/null +++ b/job-postings/30-03-2025/100.txt @@ -0,0 +1,29 @@ +About + +#Team Nextdoor + +Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The Impact You’ll Make + +You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform. Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform. Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly. Deploy ML models into production environments and integrate them into the product. Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics. Collaborate with other engineers and data scientists to create optimal experiences on the platform. Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises. Build in-person relationships with team members and contribute to Nextdoor’s company culture. What You’ll Bring To The Team + +B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field. 2+ years of industry/academic experience of applying machine learning at scale. Experience of building ML models for advertising products. Proven engineering skills. Experience of writing and maintaining high-quality production code. Ability to work with and analyze large amounts of data. Ability to succeed in a dynamic startup environment. Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. + +Skills Engineering And Information Technology Technology, Information and Internet + +#J-18808-Ljbffr + +Nice-to-have skills + +Machine Learning +Data Science +Advertising +California, United States + +Work experience + +Machine Learning +Data Engineer + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/11.txt b/job-postings/30-03-2025/11.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f2503bca2e98ff5fd8d9fbf9a2b58b8912515ec --- /dev/null +++ b/job-postings/30-03-2025/11.txt @@ -0,0 +1,51 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Baton Rouge, LA. Apply via Lensa today! + +Summary + +Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page. + +Required Skills + +Software Engineer (Machine Learning) Responsibilities: + +Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. +Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. +Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. +Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools. +Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. +Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). +Telecommuting is permitted from anywhere in the U.S. + +Minimum Qualifications + +Minimum Qualifications: + +Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation. +Requires 12 months of experience involving the following skills: +Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow +Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems +Translating insights into business recommendations +Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark +Developing and debugging in C/C++ and Java +Scripting languages such as Perl, Python, PHP, or shell scripts +C, C++, C#, or Java +Python, PHP, or Haskell +Relational databases and SQL +Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) +Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting +Build highly-scalable performant solutions +Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction +Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and +Distributed systems. +Public Compensation + +$192,668/year to $240,240/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/12.txt b/job-postings/30-03-2025/12.txt new file mode 100644 index 0000000000000000000000000000000000000000..03d2a6dea6f93bcab8e55864bf7aea4b02c050d7 --- /dev/null +++ b/job-postings/30-03-2025/12.txt @@ -0,0 +1,70 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Travelers Insurance, is seeking professionals in St Paul, MN. Apply via Lensa today! + +Who Are We? + +Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. + +Job Category + +Data Analytics, Technology + +Compensation Overview + +The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. + +Salary Range + +$135,700.00 - $223,900.00 + +Target Openings + +1 + +What Is the Opportunity? + +Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineering Director you will accelerate growth and transformation of our analytics landscape. In this role, you will lead teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. In addition to ingesting data from multiple sources and relaying information to relevant partners, you will also mentor and develop a team of data engineers. + +What Will You Do? + +Lead development of analytic data products, including pilots and proof of concepts. +Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure. +Manage the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions. +Present analysis and recommendations to help influence management decisions. +Guide and coach team members to accelerate career development. +Establish team processes and procedures. +Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly. +Perform other duties as assigned. + +What Will Our Ideal Candidate Have? + +Bachelor’s Degree in STEM related field or equivalent +Five or more years of related experience +Two or more years of management experience +Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms. +This role will focus on Data and AI product implementation for underwriting and operations models. We will be building and supporting new products to support our day to day risk management and operations. +Experience with Python, AWS, Databricks, Sagemaker and CI/CD (Terraform, Git Actions) preferred. + +What is a Must Have? + +Bachelor’s degree or equivalent training with data tools, techniques, and manipulation. +Five years of data engineering or equivalent experience + +What Is in It for You? + +Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. +Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. +Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. +Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. +Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. + +Employment Practices + +Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. + +In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. + +If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (4-ESU@travelers.com) so we may assist you. + +Travelers reserves the right to fill this position at a level above or below the level included in this posting. + +To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ . \ No newline at end of file diff --git a/job-postings/30-03-2025/13.txt b/job-postings/30-03-2025/13.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd4f748ac8cce243d027806dccd8f37eca448fd9 --- /dev/null +++ b/job-postings/30-03-2025/13.txt @@ -0,0 +1,49 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Augusta, ME. Apply via Lensa today! + +Summary + +Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer (Leadership) - Machine Learning Responsibilities: + +Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient. +Effectively communicate complex features & systems in detail. +Understand industry & company-wide trends to help assess & develop new technologies. +Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. +Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. +Suggest, collect and synthesize requirements and create an effective feature roadmap. +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). + +Minimum Qualifications + +Minimum Qualifications: + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience leading projects with industry-wide impact. +Experience communicating and working across functions to drive solutions. +Experience in mentoring/influencing senior engineers across organizations. +Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision. +Experience in driving large cross-functional/industry-wide engineering efforts. +12+ years of experience in programming languages (Python, C++, or Java) with technical background. +8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. + +Preferred Qualifications + +Preferred Qualifications: + +Experience in shipping products to millions of customers or have started a new line of product. + +Public Compensation + +$264,000/year to $342,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/14.txt b/job-postings/30-03-2025/14.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb45f3439b595cff52cd548f19f7a1981d22e2bc --- /dev/null +++ b/job-postings/30-03-2025/14.txt @@ -0,0 +1,49 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Baton Rouge, LA. Apply via Lensa today! + +Summary + +Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer (Leadership) - Machine Learning Responsibilities: + +Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient. +Effectively communicate complex features & systems in detail. +Understand industry & company-wide trends to help assess & develop new technologies. +Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. +Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. +Suggest, collect and synthesize requirements and create an effective feature roadmap. +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). + +Minimum Qualifications + +Minimum Qualifications: + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience leading projects with industry-wide impact. +Experience communicating and working across functions to drive solutions. +Experience in mentoring/influencing senior engineers across organizations. +Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision. +Experience in driving large cross-functional/industry-wide engineering efforts. +12+ years of experience in programming languages (Python, C++, or Java) with technical background. +8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. + +Preferred Qualifications + +Preferred Qualifications: + +Experience in shipping products to millions of customers or have started a new line of product. + +Public Compensation + +$264,000/year to $342,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/15.txt b/job-postings/30-03-2025/15.txt new file mode 100644 index 0000000000000000000000000000000000000000..7adc5ebd1a59a57f365f9a88ee2a8b3073311bed --- /dev/null +++ b/job-postings/30-03-2025/15.txt @@ -0,0 +1,56 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Seattle, WA. Apply via Lensa today! + +Machine Learning Research Engineer + +Seattle,Washington,United States + +Machine Learning and AI + +Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. + +Description + +APPLE INC has the following available in Seattle, Washington. Build and enhance features to improve discoverability of the content in Apple products, services and applications, including iTunes Store, App Store, Apple Music, Movies, Podcasts, and iBooks. Improve query understanding, classification, and ranking of search results for Apple applications and services. Work on feature engineering and model building for search ranking and query understanding to improve search quality and drive user engagement. Improve recall and precision of search results for Apple applications and services using a deep understanding of machine learning algorithms and information retrieval systems including decision trees, random forest, Deep Neural Networks, and Solr. Use big data technology and parallel processing technologies such as Map Reduce to baseline and prioritize content discovery features for better search recall and ranking. Ensure successful deployment of features and ranking models in production and A/B testing to optimize performance. Collaborate with other world-class engineers, researchers, and statisticians to ensure features and models are functioning at or above expected performance levels. Utilize knowledge of scalable data structures, object-oriented software design, and Unix to write code for state-of-the-art search to improve system quality. Bring the latest in search and discovery ideas and innovate beyond them at large scale production to advance our search capabilities. Define metrics that measure the success of machine learning models to drive meaningful improvements. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,454 - $250,600/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. + +Minimum Qualifications + +Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation. +5 years of experience with each of the following skills is required: +Leveraging data structures like List, Map, Hash tables, trie, and algorithms such as binary search, sorting, tf-idf, ndcg, and learning to rank showcases a rich toolkit for handling different aspects of data manipulation, model training, and evaluation. +Incorporating information retrieval techniques like BM25, posting lists, semantic retrieval, embeddings, recall, demonstrates a thorough understanding of the intricacies involved in retrieving relevant documents from a large corpus. +Employing a variety of machine learning models including SVMRank, XGBoost, Neural networks, and collaborative filtering ensures a diverse set of approaches to rank documents and provide a better user experience. +Leveraging distributed systems for large-scale data processing, parallelized training, scalable storage, load balancing, and A/B testing demonstrates a scalable and resilient infrastructure. +Applying neural network methods to generate embeddings for documents and queries signifies a commitment to semantic retrieval, acknowledging that understanding the context is as important as textual matching. +Utilizing coding languages like Go, Python, Scala, and Spark for building pipelines, training models, and deploying them to serving stacks. +Leveraging public cloud services like Cloudera, AWS for storage and data manipulation showcases a scalable and cost-effective solution for managing large datasets. +3 years of experience with each of the following skills is required: +Utilizing Natural Language Processing for query understanding, entity recognition, genre classification, and query intent classification reflects a commitment to enhancing the search system's ability to comprehend user queries and improve relevance. +Incorporating a big data pipeline for processing logs and creating signals reflects a data-driven approach to continuously improving ranking and retrieval accuracy. + +Key Qualifications + +Preferred Qualifications + +N/A + +Education & Experience + +Additional Requirements + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) + +Apple Footer + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . + +Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . + +Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . + +Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. + +It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. \ No newline at end of file diff --git a/job-postings/30-03-2025/16.txt b/job-postings/30-03-2025/16.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a9c30b375ccc4af330abe991f24e68560ee6f10 --- /dev/null +++ b/job-postings/30-03-2025/16.txt @@ -0,0 +1,54 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, DonorSearch, is seeking professionals in Marriottsville, MD. Apply via Lensa today! + +About Us + +DonorSearch, recognized as one of the Best Places to Work in 2024 , is a leader in innovative donor prospecting and fundraising intelligence. Our mission is to empower organizations with the tools they need to build meaningful connections and drive impact. Join a dynamic team where your work truly makes a difference. + +Job Overview + +We're seeking an exceptional Machine Learning & AI Engineer to drive innovation in our SaaS product. In this pivotal role, you'll collaborate directly with our VP of IT and Product Development Manager to architect, implement, and enhance AI-powered features that deliver measurable value to our customers. + +Key Responsibilities + +Spearhead the development and deployment of machine learning solutions, including predictive modeling and generative AI implementations +Design and implement internal ML model training pipelines and workflows +Lead integration efforts of various AI/ML technologies into our existing product stack +Architect scalable solutions utilizing AWS infrastructure +Establish best practices for AI/ML development and deployment +Provide technical leadership and mentorship within the engineering team + +Technical Requirements + +Extensive experience developing and deploying machine learning models, with a strong focus on LLM implementations +Advanced proficiency in Python for ML/AI development and automation +Deep understanding of AWS services, particularly EC2 and S3 +Experience with modern database technologies including MySQL, MongoDB, and Elasticsearch +Working knowledge of PHP and Laravel framework +Proven track record of implementing and managing production ML systems + +Preferred Qualifications + +Experience with AWS Glue and DataRobot +Background in developing custom LLM applications +Familiarity with PHP/Laravel ecosystem +Experience with documentation systems and technical writing + +Personal Qualities + +Demonstrated ability to work independently and manage complex projects +Exceptional problem-solving skills with strong attention to detail +Outstanding written and verbal communication abilities +Track record of innovation and creative solution development +Proactive mindset with excellent time management skills +Ability to translate technical concepts to non-technical stakeholders + +What Sets You Apart + +History of successful AI/ML implementations in production environments +Experience building and leading technical teams +Proven ability to balance multiple priorities while maintaining high-quality deliverables +Strong documentation practices and commitment to knowledge sharing + +This role offers an exciting opportunity to shape the future of AI implementation in our product while working with cutting-edge technologies. Join our team and make a significant impact on our technical direction and product success. + +Powered by JazzHR \ No newline at end of file diff --git a/job-postings/30-03-2025/17.txt b/job-postings/30-03-2025/17.txt new file mode 100644 index 0000000000000000000000000000000000000000..00f6584bc57320d6c3b1450b3a3b390a6f27afb3 --- /dev/null +++ b/job-postings/30-03-2025/17.txt @@ -0,0 +1,41 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in New York, NY. Apply via Lensa today! + +Summary + +Meta is in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. Machine Learning Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. + +Required Skills + +Machine Learning Software Engineering Manager Responsibilities: + +Be both highly technical and an effective people manager +Be a subject matter expert in an ML domain +Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area +Work with your team and cross functional partners to define and influence strategy +Drive roadmap creation and execution +Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level +Participate in technical design +Measure the impact of your team and set clear expectations and goals +Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes + +Minimum Qualifications + +Minimum Qualifications: + +8+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain +8+ years experience coding in one of the following languages: C++, Java, Python and/or PHP +2+ years experience of developing, coaching and managing engineering leaders +Demonstrated experience recruiting and managing technical teams, including performance management +BA/BS in Computer Science (In lieu of degree, 4+ years work experience) + +Public Compensation + +$213,000/year to $293,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/18.txt b/job-postings/30-03-2025/18.txt new file mode 100644 index 0000000000000000000000000000000000000000..49b56c6daa1f74d675e10f323f09c1934de8cc22 --- /dev/null +++ b/job-postings/30-03-2025/18.txt @@ -0,0 +1,68 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Capital One, is seeking professionals in McLean, VA. Apply via Lensa today! + +Principal Data Scientist - Customer Data Machine Learning Team + +Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. + +As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. + +Team Description + +The Enterprise Consumer Data Science team develops customer matching models that are foundational to servicing our customers and internal data consumers across all Capital One lines of business. The team develops and deploys entity resolution systems operating on massive datasets (hundreds of millions of records) in both batch and realtime, leveraging distributed compute and algorithm optimization to overcome scaling challenges. In this team, you will contribute to the full lifecycle of model development, from scoping business requirements to deployment and monitoring on Capital One's kubernetes platform, and your work will enable a variety of use cases including customer servicing, anti-money laundering, marketing, and bankruptcy processing. Our models are required to make impactful decisions in the face of uncertainty, and we leverage a variety of state-of-the-art interpretable and trustworthy machine learning techniques to support transparency. The team is also heavily invested in expanding core ML technology stack in deep-learning/GenAI and graph analytics and embedding research. + +In this role, you will + +Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love +Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data +Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation +Flex your interpersonal skills to translate the complexity of your work into tangible business goals + +The Ideal Candidate is + +Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. +Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. +Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. +Statistically-minded.You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. +A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. + +Basic Qualifications + +Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: +A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics +A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics +A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) + +Preferred Qualifications + +Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in Deep Learning, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) +Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs +Track record of driving innovation, publishing and communicating your work in industry +At least 3 years’ experience in PyTorch/Tensorflow +At least 3 years’ experience with machine learning +At least 1 year of experience working with AWS + +Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. + +The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. + +McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science + +New York, NY: $173,000 - $197,400 for Princ Associate, Data Science + +Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. + +This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. + +Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. + +This role is expected to accept applications for a minimum of 5 business days. + +No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. + +For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com + +Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. + +Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \ No newline at end of file diff --git a/job-postings/30-03-2025/19.txt b/job-postings/30-03-2025/19.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2e5afe9fbafab47de1308a9dc980e222ba515c7 --- /dev/null +++ b/job-postings/30-03-2025/19.txt @@ -0,0 +1,41 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Amazon, is seeking professionals in Seattle, WA. Apply via Lensa today! + +Description + +Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us. + +As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team. + +We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you. + +Key job responsibilities + +Develop and maintain key tooling for model evaluation. +Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. +Manage project prioritization, deliverables, timelines, and stakeholder communication. +Illuminate trade-offs, educate the team on best practices, and influence technical strategy. +Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. +Operate in a dynamic environment to deliver high quality software against aggressive schedules. + +About The Team + +We are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking. + +Basic Qualifications + +3+ years of non-internship professional software development experience +2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience +Experience programming with at least one software programming language + +Preferred Qualifications + +3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience +Bachelor's degree in computer science or equivalent + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. + +Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. + +Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. \ No newline at end of file diff --git a/job-postings/30-03-2025/2.txt b/job-postings/30-03-2025/2.txt new file mode 100644 index 0000000000000000000000000000000000000000..454ac95876dbd6ba1ecc5fbfbc1ade38303ebe00 --- /dev/null +++ b/job-postings/30-03-2025/2.txt @@ -0,0 +1,64 @@ +Job Description +(What you will be doing) +As a Senior Machine Learning Engineer at Future Facts Conclusion you love to solve real-world problems with data & algorithms. You can bridge the gap between Data Scientists, Data Engineers & DevOps. Through using Machine Learning (ML), MLOps and Cloud technologies, you create valuable solutions for our customers. + +You are at the center of productionizing our AI solutions and will coach, train and lead the team on the latest innovations in ML. Another important part of your role is orchestrating data pipelines for model training and prediction, industrialize and train ML algorithms and build high performance, low latency API's. It is key that your knowledge of code and CI/CD best practices is solid. + +Project examples + +At Dura Vermeer, a smart building concept has been set up in Azure by means of AI & IoT, in which occupancy rate and atmosphere are calculated and processed in real-time. This is crucial for the health of the company's employees. + +For a large waste processor we use computer vision and camera-wide inspection to detect the different waste flows and to find out how they can be optimized for processing. + + +Who we are +Future Facts Conclusion is part of the Hot ITem Group and specializes in AI solutions. We guide data-driven organizations in further growth by using the latest technology in the field of Artificial Intelligence, Machine Learning, Cloud Solutions and Internet of Things. With a team of highly qualified professionals, we realize sustainable impact for people, organizations and society. + +Requirements +(What we offer you) + +The possibility to work part-time if that suits you better + +A salary that matches your experience and expertise + +An attractive bonus scheme based on your performance and that of the company + +A generous lease or mobility budget + +Reimbursement for expenses, internet, and mobile + +Sabbatical options and an excellent pension scheme + +27 vacation days and 2 extra performance leave days + +Your growth is central with a personal development plan and a wide range of courses, training, and education + +Flexible working: control over your own working hours – in addition to working from home and at the client’s site, we offer you an easily accessible workplace in Amsterdam with a beautiful view over the IJ + +Unique extras: weekly chair massage, fully equipped gym, (electric) canal boat, rooftop terrace, and café where you can always have a chat with your colleagues + +250+ colleagues to rely on and to do fun activities with. Curious about what we do? Take a look at our + + + +Your talent + +A Master of Science or PhD in e.g. Computer Science or other STEM related fields + +3+ years experience as a Machine Learning- or Software Engineer + +Knowledge of Azure, AWS or Google Cloud platforms + +Experience with ML frameworks (e.g. Tensorflow and PyTorch), preferably on large scale projects + +Great understanding of Machine Learning and Deep Learning related concepts + +Hands-on programming skills in Python, experience with API design and the DevOps and CI/CD way of working + +Knowledge of big data processing tools, platforms and infrastructures such as Spark, PySpark, Kafka, AWS EMR, Databricks Linux, Docker, Kubernetes (nice to have) + +Experience with both SQL and NoSQL + +Be able to communicate complex concepts and make them understandable for technical and non-technical disciplines + +Knowledge of Dutch to some extent and have the willingness to learn it \ No newline at end of file diff --git a/job-postings/30-03-2025/20.txt b/job-postings/30-03-2025/20.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d63d1eaf8f93b98d9495352f238d82c57b1fefe --- /dev/null +++ b/job-postings/30-03-2025/20.txt @@ -0,0 +1,56 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Seattle, WA. Apply via Lensa today! + +AIML - Sr Engineering Program Manager, Machine Learning FM + +Seattle,Washington,United States + +Machine Learning and AI + +Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Are you passionate about overseeing evaluating ML models and validating AI applications? We are looking for an engineering program manager to lead the development of the next phase of our ML international locales expansion. The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machine learned experiences. + +Description + +Specific Responsibilities Include: - Lead high profile Foundation Model programs, responsible for roadmapping, establishing goals with DRIs and reporting statuses to executives regularly and succinctly - Drive consensus across multiple groups with varying opinions & needs. Influence entire teams around a common purpose and drive conference on the plan of execution - Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status - Proactively identify and manage risks, close gaps with the ability to switch gears on projects in an agile manner - Keep teams on critical path with efforts to minimize distractions - Provide clear, timely and objective communication, including regular program status updates and one-off reviews as needed to executive team - Keep an eye on any potential gaps across dependency teams and proactively promote regular communications on common source of truth - Proactive and regular insurance of alignments across all stakeholder teams when new factors arise - Plan yearly and quarterly budgets for data acquisition - Maintain awareness of the Privacy and Legal aspects of data management and regional regulations, ensuring the team is meeting company-wide requirements + +Minimum Qualifications + +5+ years of experience in program management, particularly in the data acquisition of ML technologies, international locales experience is a plus. +Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. +Excellent communication and presentation skills, with the ability to convey complex technical information to diverse audiences. +Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap +Experience leading cross functional security and privacy initiatives and collaborating with Legal, Privacy Engineering, Security and other teams across the organization to ensure compliance with privacy policies and security mandates +Excellent project management skills including project structuring and managing multiple work streams interdependently +Demonstrated ability to work collaboratively across the organization +Ability to independently draft and present deliverables, recommendations and communication strategies +Bachelor's or Master's degree. EE/CS/CE or equivalent. +Key Qualifications + +Preferred Qualifications + +Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus +Experience with international locales experience + +Education & Experience + +Additional Requirements + +Pay & Benefits + +At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $157,000 and $278,900, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) + +Apple Footer + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . + +Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . + +Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . + +Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. + +It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. \ No newline at end of file diff --git a/job-postings/30-03-2025/21.txt b/job-postings/30-03-2025/21.txt new file mode 100644 index 0000000000000000000000000000000000000000..380f4f39c4ec710cea7f9d993f8198ddf729bff0 --- /dev/null +++ b/job-postings/30-03-2025/21.txt @@ -0,0 +1,93 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, EY, is seeking professionals in Orlando, FL. Apply via Lensa today! + +At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. + +The exceptional EY experience. It's yours to build. + +EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. + +AI/Machine Learning Engineer – TMT – Manager - Consulting + +The opportunity + +Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. + +Your Key Responsibilities + +You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. + +You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. + +Skills And Attributes For Success + +This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. + +To qualify for the role you must have + +Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning +2-4 years of experience directly managing technical teams +Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends. +Strong skills in Python. +Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG). +Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries. +Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. +Proven ability to design and implement machine learning solutions that enhance network performance and customer experience. +Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science. +Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics. +Knowledge of streaming video and audio technologies, including analytics and content recommendation systems. +Experience with multi-modal models, including vision-language models. +Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications. +Knowledge of regulatory and compliance considerations specific to the TMT sector. +Experience with real-time data processing frameworks (e.g., Apache Kafka). +Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure). +Experience with network optimization algorithms and techniques. +Knowledge of emerging technologies such as edge computing and IoT. +A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. +Experience with MLOps methods and platforms such as MLFlow. +Experience with CI/CD and test-driven development. +Experience designing, building, and maintaining ML models, frameworks, and pipelines. +Experience designing and deploying end to end ML workflows on at least one major cloud computing platform. +Understanding of data structures, data modelling and software engineering best practices. +Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. +Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. +Experience with containerization and scaling models. +Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications. +Strong mathematical and quantitative skills including calculus, linear algebra, and statistics. +Willingness to travel to meet client obligations. + +Ideally, you'll also have + +A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. +Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. +Experience working with diverse teams to deliver complex solutions. +Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. +Experience fine-tuning Generative AI models. + +What We Look For + +You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. +You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. +You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. + +What We Offer + +We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $141,400 to $259,200. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $169,700 to $294,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. + +Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. +Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. +Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. +Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. + +EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. + +EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. + +Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. + +Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. + +For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information. + +EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. + +EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/22.txt b/job-postings/30-03-2025/22.txt new file mode 100644 index 0000000000000000000000000000000000000000..212ac3a00c8cdea271881ffd480a4b2bd5481f79 --- /dev/null +++ b/job-postings/30-03-2025/22.txt @@ -0,0 +1,49 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Meta Inc, is seeking professionals in Salt Lake City, UT. Apply via Lensa today! + +Summary + +Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer (Leadership) - Machine Learning Responsibilities: + +Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient. +Effectively communicate complex features & systems in detail. +Understand industry & company-wide trends to help assess & develop new technologies. +Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. +Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. +Suggest, collect and synthesize requirements and create an effective feature roadmap. +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). + +Minimum Qualifications + +Minimum Qualifications: + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience leading projects with industry-wide impact. +Experience communicating and working across functions to drive solutions. +Experience in mentoring/influencing senior engineers across organizations. +Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision. +Experience in driving large cross-functional/industry-wide engineering efforts. +12+ years of experience in programming languages (Python, C++, or Java) with technical background. +8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. + +Preferred Qualifications + +Preferred Qualifications: + +Experience in shipping products to millions of customers or have started a new line of product. + +Public Compensation + +$264,000/year to $342,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/23.txt b/job-postings/30-03-2025/23.txt new file mode 100644 index 0000000000000000000000000000000000000000..515c2c3c64410b80102777e1f2648b4f825aceb0 --- /dev/null +++ b/job-postings/30-03-2025/23.txt @@ -0,0 +1,96 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Pacific Northwest National Laboratory, is seeking professionals in Hartford, CT. Apply via Lensa today! + +Overview + +The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing. + +PCSD is PNNL’s primary steward for research supported by the Department of Energy’s Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science. + +Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy + +Responsibilities + +The Future technology Computing group seeks Undergraduate interns for the summer of 2025 with background in distributed Machine learning training and inference, modern C/C++ programming, and cluster and job scheduling performance characterization and modeling. The duration of the internship is 3 months. The internship can be either remote or onsite based on the availability of the candidate. The candidate will be taught to use world leading technologies which are available at the Pacific Northwest National Laboratory. Moreover, the candidate will collaborate closely with domain scientists and computer scientists. The expected outcome involves peer reviewed publication. + +Responsibilities And Accountabilities + +Evaluating the performance of distributed machine learning models and frameworks +Evaluating state-of-the-art compiler optimizations for machine learning models and frameworks + +Qualifications + +Minimum Qualifications: + +Candidates must have a high school diploma /GED or higher +Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university +Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 2.50 + +Preferred Qualifications + +Parallel programming experience (e.g., pthreads, OpenMP, MPI, CUDA) +Some familiarity with compiler frameworks (e.g., MLIR, LLVM, TVM, XLA) +Research experience preferred + +Hazardous Working Conditions/Environment + +Not Applicable + +Testing Designated Position + +This is not a Testing Designated Position (TDP) + +About PNNL + +Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! + +At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. + +Commitment to Excellence and Equal Employment Opportunity + +Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. + +Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. + +We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . + +Drug Free Workplace + +PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. + +Security, Credentialing, And Eligibility Requirements + +In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. + +For Foreign National Candidates + +If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO)risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. + +Mandatory Requirements + +Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. + +Rockstar Rewards + +Regular Hourly + +Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. + +Temporary Hourly + +Employees are offered an employee assistance program and business travel insurance. + +Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) + +Notice to Applicants + +PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. + +As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. + +Minimum Salary + +USD $16.25/Hr. + +Maximum Salary + +USD $26.00/Hr. \ No newline at end of file diff --git a/job-postings/30-03-2025/24.txt b/job-postings/30-03-2025/24.txt new file mode 100644 index 0000000000000000000000000000000000000000..178f37a031fb60c234cd24a12685d24c08a13875 --- /dev/null +++ b/job-postings/30-03-2025/24.txt @@ -0,0 +1,64 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Capital One, is seeking professionals in New York, NY. Apply via Lensa today! + +Senior Machine Learning Engineer + +As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. + +What You’ll Do In The Role + +The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: +Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. +Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). +Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. +Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. +Retrain, maintain, and monitor models in production. +Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. +Construct optimized data pipelines to feed ML models. +Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. +Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. +Use programming languages like Python, Scala, or Java. + +Basic Qualifications + +Bachelor’s degree +At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) +At least 3 years of experience designing and building data-intensive solutions using distributed computing +At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) +At least 1 year of experience productionizing, monitoring, and maintaining models + +Preferred Qualifications + +1+ years of experience building, scaling, and optimizing ML systems +1+ years of experience with data gathering and preparation for ML models +2+ years of experience developing performant, resilient, and maintainable code +Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform +Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field +3+ years of experience with distributed file systems or multi-node database paradigms +Contributed to open source ML software +Authored/co-authored a paper on a ML technique, model, or proof of concept +3+ years of experience building production-ready data pipelines that feed ML models +Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance + +At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). + +The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. + +New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer + +Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. + +This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. + +Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. + +This role is expected to accept applications for a minimum of 5 business days. + +No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. + +For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com + +Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. + +Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \ No newline at end of file diff --git a/job-postings/30-03-2025/25.txt b/job-postings/30-03-2025/25.txt new file mode 100644 index 0000000000000000000000000000000000000000..23a0f130a67c87a619babbc94d4e63a7cc4f8a67 --- /dev/null +++ b/job-postings/30-03-2025/25.txt @@ -0,0 +1,56 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Cupertino, CA. Apply via Lensa today! + +Machine Learning Research Engineer, Natural Language Generation (NLG), Apple Intelligence + +Cupertino,California,United States + +Software and Services + +On the Input Experience NLP team, we build the language models that underpin intelligent text input across Apple platforms, from keyboard auto correction to the Writing Tools and Smart Reply features announced at WWDC 2024. We believe that generative AI is an incredibly promising technology that can help people communicate effectively and express themselves clearly, and we have only just begun to incorporate this technology into our products. On our team, you will help build the future and have a voice in what shape it takes. We are looking for a Machine Learning Research Engineer to help deliver scalable, multilingual NLP solutions that empower our users to use intelligent text input in their language of choice. You will build and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the focused iteration that makes the user experience magical. You will join an ambitious, organized, and collaborative team in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users, including your family and friends. You’ll work closely with teams across Apple, collaborating on human interfaces, user studies, internationalization, ML technologies, system integration, and more. + +Description + +As a Machine Learning Research Engineer on our team, you will build and iteratively refine model pipelines that enable multilingual text input experiences on Apple products. You will conduct experiments and create prototypes for new approaches to improve the quality of our models add new dimensions to their intelligence, in consideration of specific linguistic requirements and design considerations. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines, and contribute evaluate metrics for measuring forward progress. KEY RESPONSIBILITIES: - Development and maintenance of modeling pipelines that scale to multiple languages and production deployment - Definition of robust automated evaluation metrics to facilitate hillclimbing model quality - Failure analysis to understand shortcomings of our models - Research into techniques for improving model behavior - Curation and synthesis of representative training and evaluation data - Implementation of experiments and simulations to assess the value of model changes - Collaboration with language experts and QA to refine modeling approach in consideration of language-specific requirements + +Minimum Qualifications + +MS or PhD in Computer Science or related field with at least 2 years of industry experience +Strong Python programming skills, with experience developing production-quality Python modules +Solid background in machine learning, data science, natural language processing, or statistics + +Key Qualifications + +Preferred Qualifications + +Experience building and maintaining model pipelines end-to-end, from data curation to evaluation +Ability to design and perform experiments that bring ML and NLP research ideas to production +Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG +Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences +Excellent written and verbal communication skills +History of developing Python packages and supporting other users +Record of publications, innovations, and/or leadership + +Education & Experience + +Additional Requirements + +Pay & Benefits + +At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) + +Apple Footer + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . + +Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . + +Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . + +Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. + +It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. \ No newline at end of file diff --git a/job-postings/30-03-2025/26.txt b/job-postings/30-03-2025/26.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b76cdcd4b7cbc0c7780025869af5c7f12c29198 --- /dev/null +++ b/job-postings/30-03-2025/26.txt @@ -0,0 +1,49 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Jackson, MS. Apply via Lensa today! + +Summary + +Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer (Leadership) - Machine Learning Responsibilities: + +Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient. +Effectively communicate complex features & systems in detail. +Understand industry & company-wide trends to help assess & develop new technologies. +Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. +Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. +Suggest, collect and synthesize requirements and create an effective feature roadmap. +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). + +Minimum Qualifications + +Minimum Qualifications: + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience leading projects with industry-wide impact. +Experience communicating and working across functions to drive solutions. +Experience in mentoring/influencing senior engineers across organizations. +Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision. +Experience in driving large cross-functional/industry-wide engineering efforts. +12+ years of experience in programming languages (Python, C++, or Java) with technical background. +8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. + +Preferred Qualifications + +Preferred Qualifications: + +Experience in shipping products to millions of customers or have started a new line of product. + +Public Compensation + +$264,000/year to $342,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/27.txt b/job-postings/30-03-2025/27.txt new file mode 100644 index 0000000000000000000000000000000000000000..96e177ee74ad6c31221cd5496a981fc38e02592d --- /dev/null +++ b/job-postings/30-03-2025/27.txt @@ -0,0 +1,69 @@ +McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. + +What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. + +Current Need: + +The Machine Learning Engineer will support the development of an Enterprise MLOps Platform, designed to support, and streamline machine learning projects across various business units. This role involves leading the integration and engineering of state-of-the-art machine learning models, including large language models (LLMs) and pretrained models for text, image, video, and audio data. The successful candidate will provide expert consulting to business units, helping to deploy scalable and efficient AI solutions that drive significant business value. + +Responsibilities: + +Implement scalable and reliable systems to handle model inference at scale. +Deploy and manage machine learning models in production environments. +Work on containerization and orchestration solutions for model deployment. +Participate in fast iteration cycles, and adapting to evolving project requirements +Collaborate with ML scientists, software engineers, data engineers and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated model deployment +Collaborate with Engineering/DevOps teams to optimize infrastructure for machine learning workloads. +Manage and monitor machine learning infrastructure, ensuring high availability and performance. +Implement robust monitoring and logging solutions for tracking model performance and system health. +Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance. +Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner. +Implement security best practices for machine learning systems. +Ensure compliance with data protection and privacy regulations. +Collaborate with DevOps engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization. +Participate in the development of documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices. + + +Minimum Requirements + +Degree or equivalent and typically requires 4+ years of relevant experience. + +Critical Skills + +Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, R, DataBricks, Github, MLFlow, Airflow) +Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor etc. +Experience with cloud-based ML services like AutoML +Experience with visualization technologies (e.g.: RShiny, Python DASH, Tableau, PowerBI) and familiarity with data privacy standards, methodologies, and best practices +Experience in developing and maintaining APIs (e.g.: REST) +Experience in development, deployment and operations of AI/ML modelling of complex datasets +Expertise in Unix Shell scripting and Dependency driven job schedulers. + + +Additional Skills + +Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners. +Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment +Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale. +Experience specifying infrastructure and Infrastructure as a code (e.g.: docker, Kubernetes, Terraform) +Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus +Teams up and collaborates for speed, agility, delivery excellence and innovation +Strong negotiation and decision-making skills + + +Education: + +Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience + +Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson. + +We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. + +Our Base Pay Range for this position + +$119,600 - $199,400 + +McKesson is an Equal Opportunity Employer + +McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. + +Join us at McKesson! \ No newline at end of file diff --git a/job-postings/30-03-2025/28.txt b/job-postings/30-03-2025/28.txt new file mode 100644 index 0000000000000000000000000000000000000000..03a738a6d6727c34d92316af12f36fb901057bd5 --- /dev/null +++ b/job-postings/30-03-2025/28.txt @@ -0,0 +1,85 @@ +Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! + +Job details + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +This Jobot Job is hosted by Robert Reyes + +Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. + +Salary $120,000 - $145,000 per year + +A Bit About Us + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +known for its patient-centered approach, providing advanced and effective therapies in a supportive and caring environment. They have state-of-the-art facilities and a team of expert physicians dedicated to delivering exceptional care and outcomes + + + +Why join us? + + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +variety of benefits and perks designed to support your well-being and professional growth. Here are some of the key benefits + +Health and Medical Benefits Comprehensive health plan options, including medical, dental, and vision coverage, as well as flexible spending accounts to offset medical costs. + +Retirement Benefits Retirement plans to help you secure your financial future. + +Tuition Benefits Free tuition for yourself or an immediate family member after two years of employment. + +Time Off Paid and unpaid time off for vacation, personal health, and family care. + +Well-being Programs Resources to support your physical, mental, and spiritual health. + +Employee Discounts Discounts on sports tickets, gym memberships, event tickets, and more. + +Professional Development Opportunities for growth and development through various training programs and resources. + +Job Details + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +Job Details + +We are seeking a passionate and highly skilled Permanent Health Equity BI Developer to join our dynamic Tech Services team. As a Health Equity BI Developer, you will play a critical role in developing and implementing BI solutions to improve health equity. This exciting role offers the opportunity to work at the intersection of tech and healthcare, using data to drive meaningful change and improve health outcomes for all. + +Responsibilities + +Develop, implement, and maintain BI solutions using tools such as Power BI, QLIK, and Azure SQL to improve health equity. +Design and build data models to support BI initiatives and ensure data accuracy and integrity. +Work closely with stakeholders to understand their needs and translate them into technical requirements. +Lead data integration efforts, ensuring data from various sources is accurately consolidated in the Data Warehouse. +Develop complex TSQL and SSIS packages for ETL processes. +Perform data analysis and create reports to support decision-making processes. +Collaborate with cross-functional teams to drive the implementation of new solutions. +Troubleshoot and resolve BI-related issues and provide technical support when needed. +Stay up-to-date with the latest industry trends and technologies to ensure our solutions are current and effective. + +Qualifications + +Bachelor's degree in Computer Science, Information Systems, or a related field. +A minimum of 5 years of experience in a BI Developer role, preferably in the healthcare industry. +Proficiency in BI tools such as Power BI, QLIK, and Azure SQL. +Strong experience in data modeling, data integration, and working with Data Warehouses. +Proficiency in MSSQL, TSQL, and SSIS. +Experience in data analysis and report creation. +Excellent problem-solving skills and attention to detail. +Strong communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders. +Passion for health equity and a strong desire to use technology to improve health outcomes. +Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. + +This is a fantastic opportunity to leverage your technical skills to make a real difference in health equity. If you are passionate about data and healthcare and are ready to take on a challenging and rewarding role, we would love to hear from you. + +Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. + +Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. + +Want to learn more about this role and Jobot? + +Click our Jobot logo and follow our LinkedIn page! \ No newline at end of file diff --git a/job-postings/30-03-2025/29.txt b/job-postings/30-03-2025/29.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bbc1724289fe554ba2c8e4f0eab6633aa060ea5 --- /dev/null +++ b/job-postings/30-03-2025/29.txt @@ -0,0 +1,60 @@ +Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! + +Job details + +Early stage startup hiring Machine Learning Engineer / 100% remote + +This Jobot Job is hosted by Christine McNamara + +Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. + +Salary $150,000 - $250,000 per year + +A Bit About Us + +Join our dynamic team as a Machine Learning Engineer in the medical technology industry. This is a unique opportunity to leverage your skills in machine learning to contribute to the development of state-of-the-art solutions that will revolutionize the industry. The ideal candidate will have a strong background in machine learning and a passion for implementing advanced solutions to complex problems. + + + +Why join us? + + +Medical, Dental, Vision +Equity +Remote Flexibility +401k + +Job Details + +Responsibilities + +Design, develop, and implement machine learning algorithms and models to improve manufacturing processes, quality, and efficiency. +Collaborate with cross-functional teams to understand their business needs and develop end-to-end machine learning solutions. +Conduct research and experiments on machine learning, deep learning, and artificial intelligence, and stay updated with the latest advancements in these fields. +Utilize your expertise in Python, EHR, medical coding, medical billing, insurance reimbursement, and patient billing to optimize our internal processes and systems. +Develop predictive models and machine learning algorithms to identify trends, patterns, and anomalies in manufacturing data. +Work closely with data scientists and engineers to implement machine learning models into production. +Evaluate the effectiveness of machine learning models and make necessary adjustments for optimal performance. +Provide technical leadership and guidance to junior team members. + +Qualifications + +Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree or PhD is preferred. +Minimum of 5 years of experience in machine learning, ML, Python, EHR, medical coding, medical billing, insurance reimbursement, and patient billing. +Proven experience in designing and implementing machine learning models and algorithms. +Strong programming skills in Python and familiarity with machine learning libraries and frameworks. +Knowledge of EHR systems, medical coding, medical billing, insurance reimbursement, and patient billing. +Excellent problem-solving skills and the ability to think critically and creatively. +Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. +Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. +Passion for continuous learning and staying updated with the latest advancements in machine learning and artificial intelligence. + +Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. + +Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. + +Want to learn more about this role and Jobot? + +Click our Jobot logo and follow our LinkedIn page! \ No newline at end of file diff --git a/job-postings/30-03-2025/3.txt b/job-postings/30-03-2025/3.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec0725935950575ab27fb888ac38008177bc502c --- /dev/null +++ b/job-postings/30-03-2025/3.txt @@ -0,0 +1,49 @@ +Early stage startup hiring Machine Learning Engineer / 100% remote + +This Jobot Job is hosted by: Christine McNamara + +Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. + +Salary: $150,000 - $250,000 per year + +A bit about us: + +Join our dynamic team as a Machine Learning Engineer in the medical technology industry. This is a unique opportunity to leverage your skills in machine learning to contribute to the development of state-of-the-art solutions that will revolutionize the industry. The ideal candidate will have a strong background in machine learning and a passion for implementing advanced solutions to complex problems. + +Why join us? + +Medical, Dental, Vision +Equity +Remote Flexibility +401k + +Job Details + +Responsibilities: + +Design, develop, and implement machine learning algorithms and models to improve manufacturing processes, quality, and efficiency. +Collaborate with cross-functional teams to understand their business needs and develop end-to-end machine learning solutions. +Conduct research and experiments on machine learning, deep learning, and artificial intelligence, and stay updated with the latest advancements in these fields. +Utilize your expertise in Python, EHR, medical coding, medical billing, insurance reimbursement, and patient billing to optimize our internal processes and systems. +Develop predictive models and machine learning algorithms to identify trends, patterns, and anomalies in manufacturing data. +Work closely with data scientists and engineers to implement machine learning models into production. +Evaluate the effectiveness of machine learning models and make necessary adjustments for optimal performance. +Provide technical leadership and guidance to junior team members. + +Qualifications: + +Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree or PhD is preferred. +Minimum of 5 years of experience in machine learning, ML, Python, EHR, medical coding, medical billing, insurance reimbursement, and patient billing. +Proven experience in designing and implementing machine learning models and algorithms. +Strong programming skills in Python and familiarity with machine learning libraries and frameworks. +Knowledge of EHR systems, medical coding, medical billing, insurance reimbursement, and patient billing. +Excellent problem-solving skills and the ability to think critically and creatively. +Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. +Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. +Passion for continuous learning and staying updated with the latest advancements in machine learning and artificial intelligence. + +Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. + +Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. \ No newline at end of file diff --git a/job-postings/30-03-2025/30.txt b/job-postings/30-03-2025/30.txt new file mode 100644 index 0000000000000000000000000000000000000000..03a738a6d6727c34d92316af12f36fb901057bd5 --- /dev/null +++ b/job-postings/30-03-2025/30.txt @@ -0,0 +1,85 @@ +Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! + +Job details + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +This Jobot Job is hosted by Robert Reyes + +Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. + +Salary $120,000 - $145,000 per year + +A Bit About Us + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +known for its patient-centered approach, providing advanced and effective therapies in a supportive and caring environment. They have state-of-the-art facilities and a team of expert physicians dedicated to delivering exceptional care and outcomes + + + +Why join us? + + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +variety of benefits and perks designed to support your well-being and professional growth. Here are some of the key benefits + +Health and Medical Benefits Comprehensive health plan options, including medical, dental, and vision coverage, as well as flexible spending accounts to offset medical costs. + +Retirement Benefits Retirement plans to help you secure your financial future. + +Tuition Benefits Free tuition for yourself or an immediate family member after two years of employment. + +Time Off Paid and unpaid time off for vacation, personal health, and family care. + +Well-being Programs Resources to support your physical, mental, and spiritual health. + +Employee Discounts Discounts on sports tickets, gym memberships, event tickets, and more. + +Professional Development Opportunities for growth and development through various training programs and resources. + +Job Details + +Machine Learning Engineer-100% Remote contract-Must work PST hours Opportunity!! + +Job Details + +We are seeking a passionate and highly skilled Permanent Health Equity BI Developer to join our dynamic Tech Services team. As a Health Equity BI Developer, you will play a critical role in developing and implementing BI solutions to improve health equity. This exciting role offers the opportunity to work at the intersection of tech and healthcare, using data to drive meaningful change and improve health outcomes for all. + +Responsibilities + +Develop, implement, and maintain BI solutions using tools such as Power BI, QLIK, and Azure SQL to improve health equity. +Design and build data models to support BI initiatives and ensure data accuracy and integrity. +Work closely with stakeholders to understand their needs and translate them into technical requirements. +Lead data integration efforts, ensuring data from various sources is accurately consolidated in the Data Warehouse. +Develop complex TSQL and SSIS packages for ETL processes. +Perform data analysis and create reports to support decision-making processes. +Collaborate with cross-functional teams to drive the implementation of new solutions. +Troubleshoot and resolve BI-related issues and provide technical support when needed. +Stay up-to-date with the latest industry trends and technologies to ensure our solutions are current and effective. + +Qualifications + +Bachelor's degree in Computer Science, Information Systems, or a related field. +A minimum of 5 years of experience in a BI Developer role, preferably in the healthcare industry. +Proficiency in BI tools such as Power BI, QLIK, and Azure SQL. +Strong experience in data modeling, data integration, and working with Data Warehouses. +Proficiency in MSSQL, TSQL, and SSIS. +Experience in data analysis and report creation. +Excellent problem-solving skills and attention to detail. +Strong communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders. +Passion for health equity and a strong desire to use technology to improve health outcomes. +Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. + +This is a fantastic opportunity to leverage your technical skills to make a real difference in health equity. If you are passionate about data and healthcare and are ready to take on a challenging and rewarding role, we would love to hear from you. + +Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. + +Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. + +Want to learn more about this role and Jobot? + +Click our Jobot logo and follow our LinkedIn page! \ No newline at end of file diff --git a/job-postings/30-03-2025/31.txt b/job-postings/30-03-2025/31.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c72f5202621538f66182da4b41904c78cba04cb --- /dev/null +++ b/job-postings/30-03-2025/31.txt @@ -0,0 +1,64 @@ +Want to learn more about this role and Jobot Consulting? Click our Jobot Consulting logo and follow our LinkedIn page! + +Job details + +Looking for Healthcare focused within Electronic Health Records. Proficiency in Containerization Tech exp with Docker, Kubernetes, or similar. REMOTE PST hours + +This Jobot Consulting Job is hosted by Brett Walker + +Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. + +Salary $75 - $150 per hour + +A Bit About Us + +A leading healthcare organization on the west coast that focuses on EHR environments. Apply today to learn more about this Healthcare focused contract role! + +Please note you must have EHR and Healthcare setting experience to be considered. + + + +Why join us? + + +12+ Month Contract + +REMOTE + +PST Hours + +W2 or C2C Options + +Job Details + +Desired Experience for a Machine Learning Engineer + +3 or more years relevant Machine Learning Engineer Experience +Production Deployment and Model Engineering Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability. +Scalable ML Infrastructures Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. +Engineering Leadership Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions. +AI Pipeline Development Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements. +Collaboration Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models. +Continuous Integration/Continuous Deployment (CI/CD) Pipelines Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. +Monitoring and Logging Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance. +Version Control Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration. +Security and Compliance Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. +Documentation Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations. + +Preferred + +Proficiency in Containerization Technologies Experience with Docker, Kubernetes, or similar tools. +Healthcare Expertise Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems. +Master’s Degree a plus +Bachelor’s Degree computer science, artificial intelligence, informatics or closely related field +Certification(s) in Machine Learning a plus + +Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. + +Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. + +Want to learn more about this role and Jobot Consulting? + +Click our Jobot Consulting logo and follow our LinkedIn page! \ No newline at end of file diff --git a/job-postings/30-03-2025/32.txt b/job-postings/30-03-2025/32.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c72f5202621538f66182da4b41904c78cba04cb --- /dev/null +++ b/job-postings/30-03-2025/32.txt @@ -0,0 +1,64 @@ +Want to learn more about this role and Jobot Consulting? Click our Jobot Consulting logo and follow our LinkedIn page! + +Job details + +Looking for Healthcare focused within Electronic Health Records. Proficiency in Containerization Tech exp with Docker, Kubernetes, or similar. REMOTE PST hours + +This Jobot Consulting Job is hosted by Brett Walker + +Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. + +Salary $75 - $150 per hour + +A Bit About Us + +A leading healthcare organization on the west coast that focuses on EHR environments. Apply today to learn more about this Healthcare focused contract role! + +Please note you must have EHR and Healthcare setting experience to be considered. + + + +Why join us? + + +12+ Month Contract + +REMOTE + +PST Hours + +W2 or C2C Options + +Job Details + +Desired Experience for a Machine Learning Engineer + +3 or more years relevant Machine Learning Engineer Experience +Production Deployment and Model Engineering Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability. +Scalable ML Infrastructures Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. +Engineering Leadership Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions. +AI Pipeline Development Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements. +Collaboration Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models. +Continuous Integration/Continuous Deployment (CI/CD) Pipelines Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. +Monitoring and Logging Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance. +Version Control Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration. +Security and Compliance Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. +Documentation Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations. + +Preferred + +Proficiency in Containerization Technologies Experience with Docker, Kubernetes, or similar tools. +Healthcare Expertise Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems. +Master’s Degree a plus +Bachelor’s Degree computer science, artificial intelligence, informatics or closely related field +Certification(s) in Machine Learning a plus + +Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. + +Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. + +Want to learn more about this role and Jobot Consulting? + +Click our Jobot Consulting logo and follow our LinkedIn page! \ No newline at end of file diff --git a/job-postings/30-03-2025/33.txt b/job-postings/30-03-2025/33.txt new file mode 100644 index 0000000000000000000000000000000000000000..56adb6b5855d940fddeb20dd6028f82a0c9fe0b0 --- /dev/null +++ b/job-postings/30-03-2025/33.txt @@ -0,0 +1,61 @@ +About the Digital Business Unit at IndusInd: + +The mandate of the Digital Business Unit at IndusInd Bank is as follows: +Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments +Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers +Build Embedded Finance (Banking as a Service) applications +Ensure designs are highly available, highly modular, highly scalable and highly secure +Drive digital business + + +Some of the applications managed by the Digital Business Unit include IndusMobile (bank’s mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline. + +The unit’s objectives are three fold – (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models + + + +About the Role: +We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. + + + +Job Responsibilities: +Mandatory Skills: +Design, develop, and implement end-to-end machine learning systems, including data pre-processing, feature engineering, model training and evaluation, and deployment +Create and own cloud native API to deploy ML Models +Exploring big data, developing and maintaining ML pipelines for internal stakeholders +2-4 years of experience in data analysis and data manipulation +Knowledge of cloud environments (AWS, Azure etc.) for data handling +Know-how of Databricks, H2ODriverless or MLOPs environment is a good to have +Advocating the application of best practices in code hygiene and code reviews +Work in a cross-functional team of Machine Learning engineers and Data scientists to lead the design and development of large scale batch and real-time ML Services +Design, implement and deploy large scale data pipelines (both real time and batch) and back-end services +Find and advocate for Industry standards and best practices in machine learning engineering methodologies, techniques and technologies + + +Must have coding requirements: +Hands-on work experience on advance level of Python, Scala, SQL and big data interfaces - PySpark, Hadoop etc. + + + +Other required skills: +Good know-how of Machine Learning algorithms, other statistical models and feature engineering +Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities to apply machine learning to improve business outcomes +Participate in code and design reviews, and contribute to the development of best practices and standards for the machine learning team +Automate campaigns in a scalable manner to optimize compute and infrastructure cost + + +Education, Work Experience, Key Skill Set Requirements: +Bachelor's or Master's degree in quantitative fields and computational discipline (like Computer Science, Data Science, Informatics) or a related field from Tier 1,2 college +2+ years of experience in machine learning, data science, or a related field +Strong programming skills in Python, PySpark and experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn +Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to non- technical stakeholders +A proactive problem-solver with excellent communication and collaboration skills +Financial industry experience is a good to have + + + +Selection Process: +Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. +Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank +Candidates selected after the screening rounds will be processed further by IndusInd Bank \ No newline at end of file diff --git a/job-postings/30-03-2025/34.txt b/job-postings/30-03-2025/34.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b54571007bb0c975168bd602994fd1e88dfadf6 --- /dev/null +++ b/job-postings/30-03-2025/34.txt @@ -0,0 +1,49 @@ +While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. + +If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! + +Role: Senior Machine Learning Engineer + +Experience Level: 3 to 6 years + +Location: Mumbai / Bangalore (hybrid) + +Role & Responsibilities + +Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes +LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. +Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. +AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. +Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. +Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. +Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. +Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. + +Skills Required + +3 to 5 years of hands-on experience in machine learning and AI engineering. +Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. +Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. +Strong experience in prompt engineering to optimize AI models performance. + +Technical Skills + +Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. +Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. +Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. +Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. +Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. +Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). + +Soft Skills + +Strong problem-solving and analytical skills. +Excellent communication and teamwork abilities to collaborate with stakeholders. +Ability to work independently and drive projects to completion with minimal supervision. + +Preferred Skills & Qualifications + +Experience in deploying AI models at scale in production environments. +Expertise in large-scale data processing, optimization techniques, and model deployment. + +If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! \ No newline at end of file diff --git a/job-postings/30-03-2025/35.txt b/job-postings/30-03-2025/35.txt new file mode 100644 index 0000000000000000000000000000000000000000..587e5bbf78814719ef5f644b870f96168af2f701 --- /dev/null +++ b/job-postings/30-03-2025/35.txt @@ -0,0 +1,53 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Meta Inc, is seeking professionals in Nashville, TN. Apply via Lensa today! + +Summary + +Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer, Machine Learning Responsibilities: + +Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence +Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU) +Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate +Leading a team from a technical perspective to develop ML best practices and influence engineering culture +Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models +Suggest, collect and synthesize requirements and create effective feature roadmap +Code deliverables in tandem with the engineering team + +Minimum Qualifications + +Minimum Qualifications: + +8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD +6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field +Experience with scripting languages such as Python, Javascript or Hack +Experience leading major initiatives successfully +Experience building and shipping high quality work and achieving high reliability +Experience with developing machine learning models at scale from inception to business impact +Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts +Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects +Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. + +Preferred Qualifications + +Preferred Qualifications: + +Masters degree or PhD in Computer Science or a related technical field +Exposure to architectural patterns of large scale software applications +Experience with scripting languages such as Pytorch and TF + +Public Compensation + +$85.10/hour to $251,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/36.txt b/job-postings/30-03-2025/36.txt new file mode 100644 index 0000000000000000000000000000000000000000..4da10ca128c8fe67c01bc160a26c2586aeedca4b --- /dev/null +++ b/job-postings/30-03-2025/36.txt @@ -0,0 +1,50 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Meta Inc, is seeking professionals in Charleston, WV. Apply via Lensa today! + +Summary + +Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer (Technical Leadership) - Machine Learning Responsibilities: + +Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient +Effectively communicate complex features & systems in detail +Understand industry & company-wide trends to help assess & develop new technologies +Partner & collaborate with organization leaders to help improve the level of performance of the team & organization +Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas +Suggest, collect and synthesize requirements and create an effective feature roadmap +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) + +Minimum Qualifications + +Minimum Qualifications: + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience leading projects with industry-wide impact +Experience communicating and working across functions to drive solutions +Experience in mentoring/influencing senior engineers across organizations +Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision +Experience in driving large cross-functional/industry-wide engineering efforts +12+ years of experience in programming languages (Python, C++, Java or R) with technical background +8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence + +Preferred Qualifications + +Preferred Qualifications: + +Experience in shipping products to millions of customers or have started a new line of product +Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark + +Public Compensation + +$213,000/year to $293,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/37.txt b/job-postings/30-03-2025/37.txt new file mode 100644 index 0000000000000000000000000000000000000000..9acb32e244f7cf4078c4fbbf928dabb52e083001 --- /dev/null +++ b/job-postings/30-03-2025/37.txt @@ -0,0 +1,72 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Amazon, is seeking professionals in Pasadena, CA. Apply via Lensa today! + +Description + +The AWS Center for Quantum Computing (CQC) is hiring a Machine Learning Engineer to develop optical defect detection ML models. You will build ML-driven solutions that enhance our quality assurance processes and accelerate our device manufacturing pipeline. You will work closely with other Software Development Engineers and Research Scientists from our fabrication team. + +Key job responsibilities + +Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. +Quickly acquire knowledge of emerging technologies in Generative AI to solve complex problems in the data exploration domain. +Work directly with scientists and engineers to understand their data and propose frameworks for ingesting it to produce actionable metrics. +Implementation of design proposals in a logical and maintainable manner. Taking ownership over the stability and quality of the software stack by identifying, proposing, and implementing features that will accelerate our realization of quantum computing technologies. + +We are looking for candidates with strong engineering principles, resourcefulness, a bias for action, superior problem-solving skills, and excellent communication skills. Candidates should also possess a genuine curiosity and readiness to grasp the domain knowledge of our research scientists. Working effectively within a team environment is essential. As a software engineer embedded in a research organization, you will have the opportunity to work on new ideas and contribute to the development of fault-tolerant quantum computers. + +Example Projects Include + +Develop an optical defect detection & classification ML vision model +Establishing an active learning pipeline that improves model performance using human feedback + +About The Team + +You will be joining the Device Lifecycle software development team within the AWS Center of Quantum Computing. Our team is comprised of software engineers who are building software that enables scaling up quantum computing technologies. + +Why AWS? + +Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. + +AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. + +Inclusive Team Culture + +Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. + +Diverse Experiences + +AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. + +Mentorship & Career Growth + +We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. + +Work/Life Balance + +We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. + +Export Control Requirement + +Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility. + +Basic Qualifications + +Experience working in production ML environments, including deploying computer vision models into production environments. +Experience developing automation to solve problems at scale +3+ years of non-internship professional software development experience +2+ years of non-internship experience in system design, including design patterns, reliability and scaling aspects + +Preferred Qualifications + +MSc or PhD in a STEM discipline +3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations. +Experience working with scientists in a research environment +Experience with Infrastructure as Code (IaC) tools such as Terraform, Cloudformation or AWS Cloud Development Kit (CDK) +Experience deploying and maintaining Retrieval-Augmented Generation (RAG) models with generative AI in a production environment + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. + +Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. + +Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. \ No newline at end of file diff --git a/job-postings/30-03-2025/38.txt b/job-postings/30-03-2025/38.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dbe6a8ee21bb64f25af4ed70726ebc34afde917 --- /dev/null +++ b/job-postings/30-03-2025/38.txt @@ -0,0 +1,76 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Amazon, is seeking professionals in Seattle, WA. Apply via Lensa today! + +Description + +Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. + +This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. + +Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. + +Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! + +Explore the product and our history! https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index + +htmlhttps://aws.amazon.com/machine-learning/neuron/ + +https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success + +AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. + +Key job responsibilities + +You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler’s performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers – developers across the globe. + +A day in the life + +As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You’ll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, work in a startup-like development environment, where you’re always working on the most important stuff. + +About The Team + +About the Team + +Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. + +Diverse Experiences + +AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. + +About AWS + +Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. + +Inclusive Team Culture + +Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. + +Work/Life Balance + +We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. + +Mentorship & Career Growth + +We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. + +Basic Qualifications + +3+ years of non-internship professional software development experience +2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience +Experience programming with at least one software programming language + +Preferred Qualifications + +Master's degree or PhD in Computer Science, or a related technical field. +3+ years of experience writing production grade code in object-oriented languages such as C++/Java. +Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators. +Experience with OpenSource compiler toolset like LLVM/MLIR. +Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms. +Experience with modern build systems like Bazel/CMake. + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. + +Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. + +Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. \ No newline at end of file diff --git a/job-postings/30-03-2025/39.txt b/job-postings/30-03-2025/39.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bcdd66baaec08268eb6213a7c8a0cd0e1cd203e --- /dev/null +++ b/job-postings/30-03-2025/39.txt @@ -0,0 +1,49 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Sunnyvale, CA. Apply via Lensa today! + +Summary + +Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. + +Required Skills + +Software Engineer (Leadership) - Machine Learning Responsibilities: + +Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient. +Effectively communicate complex features & systems in detail. +Understand industry & company-wide trends to help assess & develop new technologies. +Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. +Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. +Suggest, collect and synthesize requirements and create an effective feature roadmap. +Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. +Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). + +Minimum Qualifications + +Minimum Qualifications: + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +Experience leading projects with industry-wide impact. +Experience communicating and working across functions to drive solutions. +Experience in mentoring/influencing senior engineers across organizations. +Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision. +Experience in driving large cross-functional/industry-wide engineering efforts. +12+ years of experience in programming languages (Python, C++, or Java) with technical background. +8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. + +Preferred Qualifications + +Preferred Qualifications: + +Experience in shipping products to millions of customers or have started a new line of product. + +Public Compensation + +$264,000/year to $342,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/4.txt b/job-postings/30-03-2025/4.txt new file mode 100644 index 0000000000000000000000000000000000000000..89bc3250c48a3d525c45fd93089dd7144dd06f5b --- /dev/null +++ b/job-postings/30-03-2025/4.txt @@ -0,0 +1,23 @@ +Company +Truxel is a leading energy optimisation platform that leverages cutting-edge data and AI technology to enhance the efficiency of renewable energy systems. Our platform integrates various energy sources, including solar, wind, battery storage, and EV chargers, to deliver seamless energy optimisation. + +Role Description +We seek a talented senior ML engineer to help us overcome the toughest challenges in the electricity market and make a meaningful impact. It is a contract position for an initial six months with the possibility of an extension. Below are a few responsibilities for this profile. +Perform data analysis and frame ML problem statements based on business requirements. +Perform time-series analysis and develop forecasting models. +Develop and implement mathematical optimisation solutions. +Develop anomaly detection, predictive maintenance tools and other advanced ML/AI solutions. +Deploy solutions to cloud infrastructure for near real-time predictions. (MLOps) + +Qualifications +Minimum 5 years of industry experience with hands-on ML solution development. +Strong background in statistics and time-series forecasting solutions. +Experience with deep learning solutions for time series problems. (RL is a plus) +Experience with deploying models in cloud infrastructure. +Phthon, PyTorch & GCP/AWS. +Ability to work collaboratively in a team environment. +Excellent problem-solving and analytical skills. + +Unfortunately, we do not offer sponsorship for this role. +The candidate must reside in Sweden. +Start ASAP. \ No newline at end of file diff --git a/job-postings/30-03-2025/40.txt b/job-postings/30-03-2025/40.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd4d24995a69e1aecfaf501cd0a2b6f17efe86db --- /dev/null +++ b/job-postings/30-03-2025/40.txt @@ -0,0 +1,70 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Amazon, is seeking professionals in Seattle, WA. Apply via Lensa today! + +Description + +The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. + +As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients. + +Key job responsibilities + +Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency +LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) +Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance +Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions + +A day in the life + +As You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also + +Build high-impact Gen AI solutions to deliver to our large customer base +Participate in design discussions, code review, and communicate with internal and external stakeholders +Work cross-functionally to help drive business solutions with your technical input +Work in a startup-like development environment, where you’re always working on the most important stuff + +About The Team + +ABOUT AWS: + +Diverse Experiences + +Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. + +Why AWS + +Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. + +Work/Life Balance + +We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. + +Inclusive Team Culture + +Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. + +Mentorship and Career Growth + +We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. + +Basic Qualifications + +3+ years of non-internship professional software development experience +2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience +Experience programming with at least one software programming language +Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) +Hands-on experience with generative AI technology + +Preferred Qualifications + +3+ years of full stack development experience +Bachelor's degree in computer science or equivalent +Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field +1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. + +Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. + +Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. \ No newline at end of file diff --git a/job-postings/30-03-2025/41.txt b/job-postings/30-03-2025/41.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c7ecd0b7e7d1503dd6a0e34014508f05252b547 --- /dev/null +++ b/job-postings/30-03-2025/41.txt @@ -0,0 +1,26 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Intuit Inc, is seeking professionals in New York, NY. Apply via Lensa today! + +Overview + +Intuit is looking for a highly motivated and experienced Principal Software Engineer to join the AI Synapse team. Our charter is to build AI/Machine Learning solutions for Intuit’s suite of financial products that drive quantifiable customer benefit through the state-of-the-art Large Language Models (LLMs) and Multimodal Language Models. You will be part of a vibrant team of Data Scientists and Data Engineers and will be responsible for leading the design, development, and deployment of end-to-end systems that solve challenging problems in the space of document comprehension, LLM training (including prompt engineering, fine tuning, etc.), and multimodal data understanding. + +What you'll bring + +MS / Ph.D. in Computer Science with focus on Machine Learning / Artificial Intelligence; equivalent experience will be considered. +10+ years of experience developing and deploying machine learning based solutions in production environments. +Strong Computer Science fundamentals including data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O, memory tuning). +Expertise in programming languages like Python, Java, or Scala and modeling frameworks like TensorFlow, Pytorch. + +How you will lead + +Lead the design, implementation, and deployment of end-to-end Machine Learning based systems for solving challenging problems like document comprehension, embedding Intuit’s domain expertise in fine tuned LLMs, and multimodal data understanding. +Architect systems for curating large amounts of representative training data, building robust model training and evaluation frameworks, and deploying models in production to drive quantifiable customer benefits. +Accelerate the pace of innovation by building quick prototypes for experimentation and scaling successful prototypes into deployed production systems. +Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving Artificial Intelligence landscape and leverage the best in class technologies to deliver customer benefits. +Drive key architectural decisions and contribute to Intuit’s ML platform architecture and strategy. +Champion technical excellence and operational rigor. +Mentor junior team mates helping them to grow their skills and expertise. + +Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $245,500 - $332,500, Bay Area California $247,500-335,000, Southern California $233,000-315,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits) (https://www.intuit.com/careers/benefits/full-time-employees/) . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. + +EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law. \ No newline at end of file diff --git a/job-postings/30-03-2025/42.txt b/job-postings/30-03-2025/42.txt new file mode 100644 index 0000000000000000000000000000000000000000..6aaf877f590b217bb18cabb943a991de3e8eb2d9 --- /dev/null +++ b/job-postings/30-03-2025/42.txt @@ -0,0 +1,59 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Austin, TX. Apply via Lensa today! + +Machine Learning Engineer — Trust and Safety (Account Trust) + +Austin,Texas,United States + +Machine Learning and AI + +The Trust and Safety group at Apple is responsible for ensuring that users of Apple’s services and products have genuine and safe experiences. Within Trust and Safety, our team ensures the protection of several systems, including Apple’s account creation flows and iMessage spam. The solutions we deploy help us keep Apple ecosystem safe, while mitigating constant attack by external actors. We are seeking a machine learning engineer who will strive to turn huge amounts of data into actionable insights that improve safe customer experience. Successful candidates will have a demonstrated history of self-directed research and investigations spanning sophisticated, interdependent systems that led to novel insights directly impacting well-defined success metrics. + +Description + +Success in this role is defined by your ability to: + +Maintain a deep understanding of Apple's account types, services, and evolving protection systems. +Simplify complex systems and communicate technical concepts to non-technical audiences. +Analyze user behavior from diverse data sources, building narratives that explain fraudulent activity and attack methods. +Build strong partnerships to close data gaps and mitigate attack vectors. +Identify weaknesses, propose better fraud-fighting tools, and anticipate attacker adaptations. This role requires exceptional collaboration across Data Science, Software Engineering, and Machine Learning Research. You’ll work with partner teams to develop strategic, long-term fraud prevention solutions while continuously enhancing your software engineering and machine learning expertise. + +Minimum Qualifications + +Proven experience in anti-fraud (or similar) with at least two complex investigations in incomplete data environments, demonstrating initiative and measurable impact. +3+ years of experience with big data tools (SQL, Spark, Splunk, Python, Jupyter Notebook). +Familiarity with machine learning algorithms including classifiers, clustering algorithms, and anomaly detection +Experience collaborating across engineering and non-engineering teams. + +Key Qualifications + +Preferred Qualifications + +Experience with Python, Scala, Java, or similar, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Spark MLlib). +2+ years of industry software development experience using source control (e.g., Git). +Hands-on experience implementing machine learning solutions (classifiers, clustering, anomaly detection). +Advanced degree (MS/PhD) in a quantitative field (Computer Science, Statistics, Mathematics, Operations Research). +Effective interpersonal, written, and verbal communication skills. +Curiosity, integrity, and a passion for learning and enhancing the Apple customer experience. + +Education & Experience + +Additional Requirements + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) + +Apple Footer + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . + +Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . + +Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . + +Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. + +It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. \ No newline at end of file diff --git a/job-postings/30-03-2025/43.txt b/job-postings/30-03-2025/43.txt new file mode 100644 index 0000000000000000000000000000000000000000..b83cf4059486a617d987c2b195e0025e89a77459 --- /dev/null +++ b/job-postings/30-03-2025/43.txt @@ -0,0 +1,41 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Washington, DC. Apply via Lensa today! + +Summary + +Meta is in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. + +Required Skills + +Software Engineering Manager, Machine Learning Responsibilities: + +Be both highly technical and an effective people manager +Be a subject matter expert in an ML domain +Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area +Work with your team and cross functional partners to define and influence strategy +Drive roadmap creation and execution +Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level +Participate in technical design +Measure the impact of your team and set clear expectations and goals +Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes +Partner with leadership to influence and drive org design, contribution and prioritization + +Minimum Qualifications + +Minimum Qualifications: + +5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain +5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP +Demonstrated experience recruiting and managing technical teams, including performance management +BA/BS in Computer Science (In lieu of degree, 4+ years work experience) + +Public Compensation + +$177,000/year to $251,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/44.txt b/job-postings/30-03-2025/44.txt new file mode 100644 index 0000000000000000000000000000000000000000..d544a20ff29c3e7e18441517b2879728a3d23431 --- /dev/null +++ b/job-postings/30-03-2025/44.txt @@ -0,0 +1,93 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, EY, is seeking professionals in Lansing, MI. Apply via Lensa today! + +At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. + +The exceptional EY experience. It's yours to build. + +EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. + +AI/Machine Learning Engineer – TMT – Manager - Consulting + +The opportunity + +Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. + +Your Key Responsibilities + +You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. + +You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. + +Skills And Attributes For Success + +This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. + +To qualify for the role you must have + +Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning +2-4 years of experience directly managing technical teams +Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends. +Strong skills in Python. +Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG). +Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries. +Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. +Proven ability to design and implement machine learning solutions that enhance network performance and customer experience. +Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science. +Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics. +Knowledge of streaming video and audio technologies, including analytics and content recommendation systems. +Experience with multi-modal models, including vision-language models. +Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications. +Knowledge of regulatory and compliance considerations specific to the TMT sector. +Experience with real-time data processing frameworks (e.g., Apache Kafka). +Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure). +Experience with network optimization algorithms and techniques. +Knowledge of emerging technologies such as edge computing and IoT. +A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. +Experience with MLOps methods and platforms such as MLFlow. +Experience with CI/CD and test-driven development. +Experience designing, building, and maintaining ML models, frameworks, and pipelines. +Experience designing and deploying end to end ML workflows on at least one major cloud computing platform. +Understanding of data structures, data modelling and software engineering best practices. +Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. +Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. +Experience with containerization and scaling models. +Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications. +Strong mathematical and quantitative skills including calculus, linear algebra, and statistics. +Willingness to travel to meet client obligations. + +Ideally, you'll also have + +A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. +Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. +Experience working with diverse teams to deliver complex solutions. +Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. +Experience fine-tuning Generative AI models. + +What We Look For + +You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. +You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. +You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. + +What We Offer + +We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $141,400 to $259,200. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $169,700 to $294,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. + +Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. +Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. +Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. +Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. + +EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. + +EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. + +Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. + +Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. + +For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information. + +EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. + +EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/45.txt b/job-postings/30-03-2025/45.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d8f4227cde0b11d2fc7200018abc2761638d617 --- /dev/null +++ b/job-postings/30-03-2025/45.txt @@ -0,0 +1,46 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Amazon, is seeking professionals in Seattle, WA. Apply via Lensa today! + +Description + +The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Sr. Software Development Engineer(Sr. SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our Sr. SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs! + +Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry! + +So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLE + +Key job responsibilities + +Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. +Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. +Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. +Work closely with Applied scientists to process massive data, scale machine learning models while optimizing. + +A day in the life + +As a Sr. SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software. + +About The Team + +Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. + +Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. + +Basic Qualifications + +5+ years of non-internship professional software development experience +5+ years of programming with at least one software programming language experience +5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience +Experience as a mentor, tech lead or leading an engineering team + +Preferred Qualifications + +5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience +Bachelor's degree in computer science or equivalent + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. + +Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. + +Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. \ No newline at end of file diff --git a/job-postings/30-03-2025/46.txt b/job-postings/30-03-2025/46.txt new file mode 100644 index 0000000000000000000000000000000000000000..24b6df9e375242d9031b27134b7c1091df58b5b1 --- /dev/null +++ b/job-postings/30-03-2025/46.txt @@ -0,0 +1,41 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Meta Inc, is seeking professionals in Indianapolis, IN. Apply via Lensa today! + +Summary + +Meta is in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. + +Required Skills + +Software Engineering Manager, Machine Learning Responsibilities: + +Be both highly technical and an effective people manager +Be a subject matter expert in an ML domain +Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area +Work with your team and cross functional partners to define and influence strategy +Drive roadmap creation and execution +Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level +Participate in technical design +Measure the impact of your team and set clear expectations and goals +Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes +Partner with leadership to influence and drive org design, contribution and prioritization + +Minimum Qualifications + +Minimum Qualifications: + +5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain +5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP +Demonstrated experience recruiting and managing technical teams, including performance management +BA/BS in Computer Science (In lieu of degree, 4+ years work experience) + +Public Compensation + +$177,000/year to $251,000/year + bonus + equity + benefits + +Industry: Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. \ No newline at end of file diff --git a/job-postings/30-03-2025/47.txt b/job-postings/30-03-2025/47.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7908956baae5d4bf22d165b1fc4f02dbe2de1d1 --- /dev/null +++ b/job-postings/30-03-2025/47.txt @@ -0,0 +1,65 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Qualcomm, is seeking professionals in San Diego, CA. Apply via Lensa today! + +Company + +Qualcomm Technologies, Inc. + +Job Area + +Engineering Group, Engineering Group > Video Standards Engineering + +General Summary + +Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression. You join a world-renowned team of video compression experts who develop algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies. Your work will involve developing innovative applications of Neural Networks in video compression to enhance state-of-the-art video codecs. This role offers the opportunity to contribute to groundbreaking advancements in video compression technology, working alongside a team of experts in a dynamic and collaborative environment. + +We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations in USA, Germany and Taiwan. + +Responsibilities + +Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression. +Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG. +Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference papers and presentations, and journal publications, etc. + +Ideal Candidate Would Have The Skills/experience Below + +Knowledge of Neural Networks based data compression, and the theory, algorithms, and techniques used in video and image coding. +Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit. +Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications in the field of applications of Machine Learning to image or video compression. +Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch. +Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. +PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, or machine learning. + +Qualifications + +PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields. +1+ years of experience with programming language such as C, C++, MATLAB, etc. + +Minimum Qualifications + +Bachelor's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. + +OR + +Master's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. + +OR + +PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. + +Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). + +To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. + +EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. + +Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. + +Pay Range And Other Compensation & Benefits + +$148,300.00 - $222,500.00 + +The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link . + +If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) . + +EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification \ No newline at end of file diff --git a/job-postings/30-03-2025/48.txt b/job-postings/30-03-2025/48.txt new file mode 100644 index 0000000000000000000000000000000000000000..6265cd7b185f71440d464abd3653f32d91a2faf2 --- /dev/null +++ b/job-postings/30-03-2025/48.txt @@ -0,0 +1,56 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in San Diego, CA. Apply via Lensa today! + +Machine Learning & Data Scientist, OS Power & Performance + +San Diego,California,United States + +Software and Services + +Great performance is critical to Apple's product experience. Would you like to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users? Does the idea of developing data products to improve Apple’s software & hardware performance excite you? If this describes you, we would love to hear from you! + +Description + +We're looking for a proactive & impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. You will need to analyze high dimensional data to derive meaningful insights. You will be responsible for producing metrics, models, simulations, and tools for analysis & communication of insights from large datasets. To be successful in this role, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems. You must also have a software engineering background and be able to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. + +Minimum Qualifications + +Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. We expect a mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning. +Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python & Spark) and data visualizations (e.g. Tableau) +Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders. +Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential. + +Key Qualifications + +Preferred Qualifications + +M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition +Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino +Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) +Working knowledge of Operating Systems +Experience driving cross-functional projects with diverse sets of stakeholders +Skilled at connecting data insights to the company's overall strategy and objectives. + +Education & Experience + +Additional Requirements + +Pay & Benefits + +At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $115,700 and $204,000, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) + +Apple Footer + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . + +Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . + +Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . + +Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. + +It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. \ No newline at end of file diff --git a/job-postings/30-03-2025/49.txt b/job-postings/30-03-2025/49.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7129f0a41f9e30308a343a251b41ae83d7a94d6 --- /dev/null +++ b/job-postings/30-03-2025/49.txt @@ -0,0 +1,72 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Norstella, is seeking professionals in Concord, NH. Apply via Lensa today! + +Software Engineering / Machine Learning Intern + +Company: Norstella + +Location: Remote, United States + +Date Posted: Mar 25, 2025 + +Employment Type: Intern + +Job ID: R-1045 + +Description + +At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker—and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle —and get the right treatments to the right patients at the right time. + +Each Organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) Delivers Must-have Answers For Critical Strategic And Commercial Decision-making. Together, Via Our Market-leading Brands, We Help Our Clients + +Citeline – accelerate the drug development cycle +Evaluate – bring the right drugs to market +MMIT – identify barrier to patient access +Panalgo – turn data into insight faster +The Dedham Group – think strategically for specialty therapeutics + +By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. + +The Role + +Develop and enhance web applications using Next.js, JavaScript, and RESTful APIs to support internal and external tools. +Build and optimize backend services, handling large-scale pharmaceutical datasets efficiently. +Contribute to AI and data science projects—this may include experimenting with ML models, NLP, or data extraction techniques. +Work closely with experienced engineers to design and implement new features, ensuring performance and scalability. +Participate in code reviews, debugging, and performance tuning to improve application reliability.Gain hands-on exposure to cloud technologies and modern software engineering practices. +We’re looking for passionate problem-solvers with a strong foundation in software development and an interest in data-driven applications. + +Requirements + +Currently pursuing a degree in Computer Science, Software Engineering, or a related field. +Basic understanding of frontend and backend development. +Strong problem-solving skills and ability to write clean, efficient code. +Eager to learn and collaborate in a fast-paced environment. + +Nice To Have + +Interest or experience in AI, machine learning, or data science. +Exposure to Python and SQL and cloud technologies (AWS) +Proficiency in JavaScript, Next.js, and RESTful API development. +Familiarity with Docker, CI/CD, or data engineering concepts. + +Our Guiding Principles For Success At Norstella + +01: Bold, Passionate, and Mission-First + +02: Integrity, Truth, and Reality + +03: Kindness, Empathy, and Grace + +04: Resilience, Mettle, and Perseverance + +05: Humility, Gratitude, and Learning + +Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa. + +Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. + +Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you. + +All legitimate roles with Norstella will be posted on Norstella’s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] . + +Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. \ No newline at end of file diff --git a/job-postings/30-03-2025/5.txt b/job-postings/30-03-2025/5.txt new file mode 100644 index 0000000000000000000000000000000000000000..006956c0b2f5ed6dc104d1aa730967a5a57edbac --- /dev/null +++ b/job-postings/30-03-2025/5.txt @@ -0,0 +1,14 @@ +Company Description +EET Global is a leading global wholesaler of hotels and travel services, providing a vast inventory of travel products to travel agencies, tour operators, and web service XML. With comprehensive travel products and services, EET Global aims to exceed expectations, build strong partnerships, deliver outstanding customer service, and be prepared for future travel through continuous innovation. + +Role Description +This is a full-time on-site role for a Machine Learning Engineer at EET Global in Cairo, Egypt. The Machine Learning Engineer will be responsible for developing and implementing machine learning models, working on pattern recognition, neural networks, statistics, algorithms, and computer science to enhance the company's travel products and services. + +Qualifications +Pattern Recognition and Neural Networks skills +Statistics and Algorithms knowledge +Background in Computer Science +Experience in developing and implementing machine learning models +Strong analytical and problem-solving skills +Excellent communication and teamwork abilities +Master's degree or PhD in Computer Science, Machine Learning, or related field \ No newline at end of file diff --git a/job-postings/30-03-2025/50.txt b/job-postings/30-03-2025/50.txt new file mode 100644 index 0000000000000000000000000000000000000000..6985a4e00408fc33494bfde70a9b6b11e9e00eff --- /dev/null +++ b/job-postings/30-03-2025/50.txt @@ -0,0 +1,53 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Cupertino, CA. Apply via Lensa today! + +SoC Machine Learning Design Engineer + +Cupertino,California,United States + +Hardware + +At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple’s customers every single day. In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation. + +Description + +Practical experience and knowledge of generative AI and modern machine learning methods, particularly deep neural networks and reinforcement learning - Solid math background and understanding of algorithms and data structures - Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX - Experience with hardware description languages like Verilog, SystemVerilog or VHDL - Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams - Master's or PhD with relevant publications preferred but not required + +Minimum Qualifications + +Minimum of BS + 10 years relevant industry experience. + +Key Qualifications + +Preferred Qualifications + +As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products. +Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process. +You’ll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts. +You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains. +As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art. +Prior leadership experience a plus + +Education & Experience + +Additional Requirements + +Pay & Benefits + +At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) + +Apple Footer + +Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . + +Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . + +Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . + +Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . + +Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. + +It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. \ No newline at end of file diff --git a/job-postings/30-03-2025/51.txt b/job-postings/30-03-2025/51.txt new file mode 100644 index 0000000000000000000000000000000000000000..e74b25198241eada66e296fbeb9b905173d5fef1 --- /dev/null +++ b/job-postings/30-03-2025/51.txt @@ -0,0 +1,33 @@ +Lensa is the leading career site for job seekers at every stage of their career. Our client, Intuit, is seeking professionals in San Diego, CA. Apply via Lensa today! + +Overview + +In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to... + +What you'll bring + +BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience. +6+ years of experience +Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). +Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). +Understand machine learning principles (training, validation, etc.) +Knowledge of data query and data processing tools (i.e. SQL) +Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). +Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. +Experience deploying highly scalable software supporting millions or more users +Experience with GPU acceleration (i.e. CUDA and cuDNN) +Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) +Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users + +How you will lead + +Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready. +Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. +Partner with data scientists to understand, implement, refine and design machinelearning and other algorithms. +Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. +Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. +Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver + +Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $161,500 – 219,000, Bay Area California $161,500 – 219,000, Southern California $149,500 – 202,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits) (https://www.intuit.com/careers/benefits/full-time-employees/) . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. + +EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law. \ No newline at end of file diff --git a/job-postings/30-03-2025/52.txt b/job-postings/30-03-2025/52.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3b12df5cdfbb2ffe77627533f649186b0d58d17 --- /dev/null +++ b/job-postings/30-03-2025/52.txt @@ -0,0 +1,37 @@ +Junior Data Scientist/Machine Learning Engineer + +Location: Cologne, hybrid +Contract: Permanent + +Are you interested in the next big challenge? +Our client is a big (2k employees in all major cities in Germany) company with several digital products and services on the market that make easier daily life of their customers. +You will find the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves. +Now they are looking for a Junior Data Scientist/Machine Learning Engineer with a strong interest in building end-to-end solutions. + + +Requirements: + +Good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics +First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems +Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow) +Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products +Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community +Very good written and spoken German and English skills + +Responsibilities: + +You are significantly involved in setting up a data science department, automating related business processes and delivering individually tailored results to the customers +You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptual design, data preparation, model training and evaluation, and subsequent preparation for go-live +You manage your training experiments with modern MLOps frameworks such as MLFlow and help to take the product to the next level +You integrate your models into the product both in terms of content and technology, using cloud technologies (AWS) for example and in close cooperation with the development team +You keep yourself up to date with the latest developments in machine learning and think with your team about how you can use generative AI models such as Transformers or ChatGPT, for example +You work in a cross-disciplinary team in direct cooperation with product managers, developers and business intelligence managers + +Benefits: + +Flexible working time model with four days per week in the office and one day flexibly from the office or from home. +Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential. +Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc. +Independent, agile work in small teams with a strong team spirit. Short decision-making processes. +An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work. +And much more. \ No newline at end of file diff --git a/job-postings/30-03-2025/53.txt b/job-postings/30-03-2025/53.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1f1ddde45db8f99462b14d0ffedfe7a02c5ea60 --- /dev/null +++ b/job-postings/30-03-2025/53.txt @@ -0,0 +1,67 @@ +Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. + +Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. + +Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. + +Why is Arine a Great Place to Work?: + +Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. + +Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. + +Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually. + +Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. + +The Role: + +This role will involve deriving insights at scale from large, diverse real-world health datasets to support Arine's mission to improve patient outcomes and lower costs of healthcare at scale. This is a dynamic role and an amazing opportunity to help shape the company from the ground up, with many growth opportunities. The Data Science team has very feature-rich, large volumes of medical claims datasets and work collaboratively and cross-functionally, including with an experienced team of in-house clinicians, health economics and outcomes researchers, engineers, and digital health entrepreneurs. + +What You'll be Doing: + +Develop and deploy advanced predictive ML models and AI-based tools into Arine's medication management platform +Automate model training, evaluation, inference, and monitoring +Establish and maintain a clean code base +Create presentations and reports to communicate updates to the Data Science team and cross-functional stakeholders +Participate in critical reviews within the Data Science team on everything from methods used to implementation strategy and code + +Who You Are and What You Bring: + +Masters or PhD degree in Computer Science, Physical Sciences, or related field +Demonstrated ability to train Deep Learning models using large datasets and deploy models into commercial software products +Strong solution architecture skills and experience designing end-to-end ML systems that integrate with existing software platforms +Meaningful experience (5+ years) working with healthcare data (e.g., medical and pharmacy claims data) +Experience with PyTorch, Python, scikit-learn, pandas, NumPy, and Snowflake SQL +Experience working cross-functionally to define analyses objectives and deliver analytical results +Demonstrated ability to work independently, exercise good judgment, prioritize multiple projects, and problem solve under tight deadlines and resource constraints +Excellent written, interpersonal communication and presentation skills, including ability to present complex technical concepts in a clear, concise manner to audiences with varying levels of technical understanding +Experience deploying on AWS with relevant automation services: Batch, Step Function, Lambda, EventBridge. Experience with Cloud Formation is a plus + +Remote Work Requirements: + +An established private work area that ensures information privacy +A stable high-speed internet connection for remote work + +Perks: + +Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. + +The posted range represents the expected salary for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $180,000-200,000/year. + +Job Requirements: + +Ability to pass a background check +Must live in and be eligible to work in the United States + +Information Security Roles and Responsibilities: + +All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. + +Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. + +Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! + +Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. + +Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding. \ No newline at end of file diff --git a/job-postings/30-03-2025/54.txt b/job-postings/30-03-2025/54.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bee92aacb26f6fb6f2ecb3d64040677bf6e50ae --- /dev/null +++ b/job-postings/30-03-2025/54.txt @@ -0,0 +1,25 @@ +About + +Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Research Engineer with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long-term research for the future.As a Senior Research Engineer, you will be part of a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development, fueled by an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. You will have the opportunity to contribute to research publications as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.About the Role In this opportunity, as Senior Research Engineer you will:Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available. Engineer and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks that enables your colleagues to do world-class research.Collaborate: Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic patterns at world-leading universities.About YouYou're a fit for the role if your background includes:Required Qualifications:Relevant degree in a technical discipline.Work experience in a challenging engineering setting, building high-quality software frameworks for research.Excellent programming, debugging and system design skills.Excellent communication skills to report and present software designs and findings clearly, both orally and in writing.Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.Self-driven attitude and ability to work with limited supervision.Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.Preferred Qualifications:Contributions to publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.Experience working on relevant state-of-the-art engineering topics relevant to large language model (LLMs) research such as distributed computing, building of scalable data pipeline systems, automated evaluation systems or in-depth knowledge of GPUs and parallel computing platforms such as CUDA.Previous experience working on large-scale machine learning systems.Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.Other key points:Plenty of data, compute, and high-impact problems: Our engineers and scientists get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers.'s in it For You?You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connectedWellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should - we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across any eligible US locations, unless otherwise noted, the base compensation range for this role is $140,000 - $260,000.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Accessibility As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings click here to know more.More information about Thomson Reuters can be found on . + +Nice-to-have skills + +Machine Learning +Artificial Intelligence +Distributed Computing +GPUs +CUDA +Software Engineering +Programming +Debugging +Brainerd, Minnesota + +Work experience + +Machine Learning +NLP +Software Architect + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/55.txt b/job-postings/30-03-2025/55.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ca054cb2192d3bcb52e0ef73532ce565d247f79 --- /dev/null +++ b/job-postings/30-03-2025/55.txt @@ -0,0 +1,21 @@ +About + +ResponsibilitiesAbout TikTok U.Data SecurityTikTok is the leading destination for short-form mobile video. Data Security ("USDS") is a subsidiary of TikTok in the U.This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. Currently, we are looking for Machine Learning Engineer - Model Training Infrastructure to join our team to support and advance that mission.In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. Responsibilities:- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.- Responsible for improving use-ability and flexibility of the machine learning infrastructure.- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.- QualificationsMinimum Qualifications- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role- Proficient in C/C++/CUDA/Python, and have solid programming skills.- Familiar with deep learning frameworks (TensorFlow/Pytorch).- Preferred Qualifications- Ability to work independently and complete projects from beginning to end and in a timely manner.- Good communication and teamwork skills to clearly communicate technical concepts with other Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).- Experience in using/designing open-source machine learning lifecycle management systems: Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. Accommodation StatementTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ktJP6Data Security StatementThis role requires the ability to work with and support systems designed to protect sensitive data and information. + +Nice-to-have skills + +C +C++ +CUDA +Python +TensorFlow +PyTorch +Mountain View, California + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/56.txt b/job-postings/30-03-2025/56.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd24ea24a98dbb3622e9b3e4a6f5645460ce23a7 --- /dev/null +++ b/job-postings/30-03-2025/56.txt @@ -0,0 +1,24 @@ +About + +ResponsibilitiesAbout TikTok U.S. Data SecurityTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Model Training Infrastructure to join our team to support and advance that mission.In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.Responsibilities:- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.- Responsible for improving use-ability and flexibility of the machine learning infrastructure.- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.- Responsible for designing and developing key components of ML infrastructure and mentoring interns.QualificationsMinimum Qualifications- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role- Proficient in C/C++/CUDA/Python, and have solid programming skills.- Familiar with deep learning frameworks (TensorFlow/Pytorch).- Experience in developing and deploying large-scale systems.Preferred Qualifications- Ability to work independently and complete projects from beginning to end and in a timely manner.- Good communication and teamwork skills to clearly communicate technical concepts with other Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).- Experience in using/designing open-source machine learning lifecycle management systems: TFXCandidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.D&I StatementTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Accommodation StatementTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ktJP6Data Security StatementThis role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. + +Nice-to-have skills + +C +C++ +CUDA +Python +TensorFlow +PyTorch +Deep Learning +Machine Learning +Software Engineering +Seattle, Washington + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/57.txt b/job-postings/30-03-2025/57.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ae2ae0a74fa55604c115ca8197f905df9567076 --- /dev/null +++ b/job-postings/30-03-2025/57.txt @@ -0,0 +1,28 @@ +About + +Who We AreYieldmo is an advertising technology company that operates a smart exchange which differentiates and enhances the value of ad inventory for buyers and sellers. As a leader in contextual analytics, real time technology, and digital formats, we create, measure, model, and optimize campaigns for unmatched scale and performance. By understanding how each unique impression behaves and looking for patterns and performance in real time, we can drive real performance gains without relying on audience We NeedWe're looking for an experienced architect and engineering leader to spearhead our machine learning operations, with a focus on optimizing the deployment and management of ML models. You will design and implement systems to support our data science initiatives in a low latency high volume (500B - 1T transactions a day) production environment. You are experienced with the lifecycle of machine learning, data science, pipeline designs and have a deep understanding of how they can be deployed in a cloud based infrastructure. Ideally you would have worked as a data scientist for some years and decided your passion lies in the ML ops / data engineering side of data science. We currently have multiple implementations in place that we'd like to unify into a common framework to ensure security, support reusability, observability and to expedite the ability to make changes. You should be capable of implementation in addition to design. You will partner with our data scientists to set best practices, automate data science approaches, architect solutions, deploy and monitor production workloads.ResponsibilitiesArchitect, deploy, and manage a software framework to securely handle ML models in production-grade environmentsFacilitate seamless integration of ML models into operational pipelines between engineering and data scienceDesign, implement and maintain scalable, efficient ML pipelines on AWS and GCPDesign, implement, and maintain CI/CD pipelines to automate the continuous integration and delivery of ML modelsMonitor performance of ML models and implement improvementsEnsure high availability and fault tolerance of the ML infrastructureOptimize the performance and cost-efficiency of ML systemsMaintain and champion ML ops best practicesManage team of data / ML ops engineersRecruit, mentor and grow machine learning engineering teamContribute to and evolve our current data science initiatives around (cookieless targeting, format optimization, creative optimization, throttling, margin management)Requirements10+ years of experience with AWS or GCP. 10+ years of experience in software development with Python focused on ETL, ETL and pipeline work10+ years of experience working with large datasets (working with raw logs in the order of 200 - 250TB a day. Comfortable working with databases with tables ranging from 100's of billion to trillions of rows.)5+ years of experience working with data science technologies such as (Python, R, SQL, TensorFlow, PyTorch, scikit-learn, and Spark) as a data scientist5+ years with predictive analytics and developing optimization algorithms5+ years doing machine learning with high dimensionalityExperience working with AirflowExpert level understanding of SQL in Snowflake and MySQL environmentsExperience with Hadoop, Apache Hive, Apache Kafka, AWS (SageMaker), Google Cloud (BigQuery, Vertex AI)MS or equivalent combination of education and experienceAd tech experience (SSPs, DSPs, Analytics, DMPs, CDPs)Nice to HavesTensorflow, Scikit, Google Vertex AI experienceExposure to A/B testingComfortable reading code in JavaPerksHome office setup stipend1 Mental Escape (ME) days each monthLearning stipend and professional development opportunitiesWork life balance, flexible PTO and competitive compensation packagesUS Jobs: The base salary range for this role is: $250,000-$300,000 per year. The range listed is just one component of Yieldmo's total compensation package for employees. Individual compensation decisions are based on a number of factors, including experience, level, skillset, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. In these situations, the updated salary range will be communicated with you as a candidate. For all other countries, we have competitive pay bands based on market standards. + +Nice-to-have skills + +AWS +GCP +Python +ETL +SQL +TensorFlow +PyTorch +Scikit-learn +Spark +Hadoop +MySQL +New York, New York + +Work experience + +Data Engineer +Data Infrastructure +DevOps + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/58.txt b/job-postings/30-03-2025/58.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c1dd025f0645187b6f9958de402f23a255e644d --- /dev/null +++ b/job-postings/30-03-2025/58.txt @@ -0,0 +1,21 @@ +About + +About AppLovinAppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (). Check out the rest of our awards HERE.Company Overview:At AppLovin, we're at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team.Position Overview:We are looking for a seasoned Machine Learning Engineer with a specialization in ML infrastructure and deep learning architecture. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you're passionate about pushing the boundaries of machine learning technology, building multi-billion dollar businesses with advanced algorithms, and are excited to work in a dynamic, innovative environment, this is the opportunity you've been waiting for.Responsibilities:Deep Learning Architectures: Design, develop, and implement deep learning architectures that drive innovation and improve the performance of our advertising technology. Stay up-to-date with the latest advancements in deep learning research and apply them to real-world ML Infrastructure: Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.Collaboration: Work closely with our talented team of machine learning engineers, data scientists, and software engineers to integrate your solutions into our platform seamlessly.Performance Optimization: Continuously optimize machine learning models and algorithms to improve ad targeting, recommendation systems, and customer insights.Research and Development: Stay at the forefront of machine learning research and apply innovative techniques to solve complex challenges in the advertising technology space.Qualifications:Master's or Ph.D. in Computer Science, Machine Learning, or a related field.Proven experience in ML infrastructure design, optimization, and scalability.Expertise in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).Strong programming skills in Python and proficiency in relevant ML libraries.Solid understanding of distributed computing, cloud platforms, and big data technologies.Excellent problem-solving abilities and a track record of delivering innovative solutions.Strong communication skills and the ability to work collaboratively in a team environment.What We Offer:Competitive compensation package, including top-tier salaries in the industryFree medical, dental, and vision insurance401k matching and employee stock purchase planA dynamic and inclusive work environment that encourages creativity and for career growth and professional development.Access to cutting-edge technology and resources.A chance to make a significant impact on the advertising technology landscape.Join us in pushing the boundaries of machine learning technology and be a part of our mission to connect businesses with their potential customers through advanced ML solutions. If you're an extraordinary ML engineer looking to contribute to a dynamic, high-impact team, we want to hear from you.We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on March 12, 2024.Please see the independent bias audit report covering our use of Covey here.AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.USA Base Pay Range: CA, NY, WA States$166,000-$248,000 USDUSA Base Pay Range: all other States (excludes CA, NY, WA)$142,000-$214,000 USDAppLovin has become aware of a scam targeting jobseekers with fake "app optimization" and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at [redacted].AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California, learn more here.Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. + +Nice-to-have skills + +Machine Learning +Deep Learning +PyTorch +TensorFlow +Python +Distributed Computing +Palo Alto, California + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/59.txt b/job-postings/30-03-2025/59.txt new file mode 100644 index 0000000000000000000000000000000000000000..753d02668f160a45ca7ca6286e8ac89236befb46 --- /dev/null +++ b/job-postings/30-03-2025/59.txt @@ -0,0 +1,36 @@ +About + +ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.TikTok is one of the fastest-growing apps globally, and personalized online advertising is a major revenue source for Internet companies nowadays. It is one of the most attractive fields in the Internet industry for top talents interested in solving exciting technical challenges.We're looking for innovative Senior Machine Learning Engineers to join our TikTok Ads Core team. Our team is a platform team that develops state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc. You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers.What You'll Do + +Build highly scalable machine learning systems/models to improve ads ranking results. +Explore, develop and experiment with new features to improve model accuracy. +Understand ads platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users. +Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc.QualificationsMinimum Qualifications: +BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with 5+ years industry experience and 3+ year model optimization experience. +Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. +Good analytical thinking capability. Have essential knowledge and skills in statistics. +Good theoretical grounding in deep learning concepts and techniques. +Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualifications: +Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). +Experience in resource management and task scheduling with large scale distributed software (such as Spark and TensorFlow).TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [redacted]. + +Nice-to-have skills + +C +C++ +Python +Linux +Deep Learning +TensorFlow +PyTorch +MxNet +Spark +Seattle, Washington + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/6.txt b/job-postings/30-03-2025/6.txt new file mode 100644 index 0000000000000000000000000000000000000000..a74cbe820ee874cf2d4cd68ff797641e8e11f94f --- /dev/null +++ b/job-postings/30-03-2025/6.txt @@ -0,0 +1,37 @@ +We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! + +As an Applied Machine Learning Engineer on the Go to Market team you’ll research and utilize established and state-of-the-art Gen AI and ML techniques to successfully deliver solutions to our customers. You'll engage new Gen AI and ML use cases through hands-on customer problems and help generalize learnings into the core Snorkel Flow platform. We move fast and are constantly prototyping new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value. + +Main Responsibilities + +Design and implement customer AI projects from end to end, with a focus on Generative AI and ML solutions. This includes defining the business case, scoping the project, applying techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt tuning, ML model training, and optimizing model performance for real-world deployment to maximize business impact +Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials. +Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more +Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams +Deliver training and enablement to customers + +Preferred Qualifications + +5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field +1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services +Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement. +Strong experience working with Generative AI models (LLMs, transformers, embeddings, etc.). +Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, XGBoost, ScikitLearn) +Experience building and maintaining large scale, production data pipelines for machine learning applications +Ability to work in a fast-paced environment and strong technical communication skills + +The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $140,000.00 - $200,000.00. All offers include equity compensation in the form of employee stock options. + +Salary Range + +$140,000—$210,000 USD + +Be Your Best At Snorkel + +Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth. + +Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page. + +Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. + +We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. \ No newline at end of file diff --git a/job-postings/30-03-2025/60.txt b/job-postings/30-03-2025/60.txt new file mode 100644 index 0000000000000000000000000000000000000000..87df9d9a219a8825242657e88ef0be69dd736af4 --- /dev/null +++ b/job-postings/30-03-2025/60.txt @@ -0,0 +1,35 @@ +About + +ResponsibilitiesTikTok is the leading destination for short-form mobile video. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. TikTok Web Ads and Open-loop E-commerce team holds a strong advertiser focus and a dedication to technical excellence. We work with advertisers from all verticals, such as E-commerce, Retail, Travel etc, to make TikTok an irreplaceable growth channel for businesses of all sizes and a favourite destination for consumers to discover and purchase products, content, and services. We are on the critical path to delivering TikTok's Ads revenue and working on building the next-generation web ads solution for TikTok. We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do: + +Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. +Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.Qualifications +BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 7+ years of related work experience. +Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. +Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). +Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism. +Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). +Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). +Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [redacted]. + +Nice-to-have skills + +Go +C +C++ +Python +Linux +LSTM +TensorFlow +PyTorch +MxNet +Spark +Seattle, Washington + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/61.txt b/job-postings/30-03-2025/61.txt new file mode 100644 index 0000000000000000000000000000000000000000..e491511742481421e3c8f131223fa16c2f8eb868 --- /dev/null +++ b/job-postings/30-03-2025/61.txt @@ -0,0 +1,27 @@ +About + +ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a Intro: Measuring advertising effectiveness has become one of online advertising's most significant challenges as the industry is moving toward a privacy-preserving world. As a machine learning engineer on the Ads Signal team, you will develop novel machine learning solutions, build scalable tech foundations and launch various products to maximize signal values for ads in a privacy-preserving way. The team is working on various products, including web/app signals modeling, identity matching, probabilistic attribution, modeled conversions, as well as various privacy-enhancing technologies (PETs).Key Responsibilities: + +Responsible for developing machine learning and PET solutions for various ads use cases, including ads signal extraction and understanding, identity matching, attribution, reporting, ranking, calibration, bidding, etc. +Work with product and business teams on product vision definition and executionQualificationsMinimum Requirements: +3+ years of hands-on experience with applying machine learning methods for ranking. +3+ years of software development experience and strong coding skills, especially in Python/C++/Go. Experience with high-load systems is a plus +Familiarity with online experimentation and analytics +Curiosity toward new technologies and entrepreneurshipTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [redacted]. + +Nice-to-have skills + +Machine Learning +Python +C++ +Go +Seattle, Washington + +Work experience + +Machine Learning +Data Engineer + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/62.txt b/job-postings/30-03-2025/62.txt new file mode 100644 index 0000000000000000000000000000000000000000..459b29b2f11ed588eca1dbfa9777226d1f6ce650 --- /dev/null +++ b/job-postings/30-03-2025/62.txt @@ -0,0 +1,40 @@ +About + +ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.What You'll Do: + +Participate in the development of a large-scale Ads system +Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc +Participate in the development and iteration of Ads algorithms by using Machine Learning. +Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc +Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering +Research and develop Ads pacing algorithms, ads traffic control, etc +Partner with product managers and product strategy & operation team to define product strategy and featuresQualifications +BS degree in Computer Science, Computer Engineering or other relevant majors. +Excellent programming, debugging, and optimization skills in general purpose programming languages +Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualifications: +Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python. +Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems. +Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at TiktokO[redacted] + +Nice-to-have skills + +Go +C +C++ +Python +Machine Learning +Deep Learning +Data Science +Data Analysis +Seattle, Washington + +Work experience + +Data Engineer +NLP +Search +Software Architect + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/63.txt b/job-postings/30-03-2025/63.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6df9fc52170bee524b395160cfcb4838fa97d71 --- /dev/null +++ b/job-postings/30-03-2025/63.txt @@ -0,0 +1,20 @@ +About + +ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the Lead Ads team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of lead ads delivery.Key Responsibilities:- Work on the development of a large-scale online ads delivery system and improve its accuracy.- Explore multi-stage ranking models, conduct data analysis, develop feature engineering.- Participate in the innovations of online ads systems using machine learning models, ranking algorithms, etc.- Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and Qualifications:- BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.- 3+ years of hands-on experience with applying machine learning methods for ranking.- 3+ years of software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus.- Experience with recommender system projects.- Familiarity with online experimentation methods and analytics. Essential knowledge and skills in Curiosity toward new technologies and entrepreneurship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [redacted] + +Nice-to-have skills + +Python +C++ +TensorFlow +PyTorch +MxNet +San Jose, California + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/64.txt b/job-postings/30-03-2025/64.txt new file mode 100644 index 0000000000000000000000000000000000000000..478f403e2bb0d39c34f25546516b9113cef1c603 --- /dev/null +++ b/job-postings/30-03-2025/64.txt @@ -0,0 +1,26 @@ +Key Responsibilities: +Design, develop, and deploy machine learning models for various business use cases. +Build and optimize data pipelines for training and inference of ML models. +Work with structured and unstructured data to preprocess and feature engineer datasets. +Optimize model performance and scalability for production deployment. +Implement A/B testing and model monitoring strategies to ensure continuous improvement. +Collaborate with data scientists to refine models and algorithms. +Deploy ML models using cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). +Research and stay up-to-date with the latest advancements in AI and ML. +Ensure compliance with data privacy and ethical AI guidelines. + +Required Qualifications & Skills: +BSc in Computer Science, AI, Data Science, or a related field. +Proven experience in machine learning, deep learning, and statistical modelling. +Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. +Experience with data preprocessing, feature engineering, and model evaluation. +Knowledge of big data technologies (Spark, Hadoop) and databases (SQL, NoSQL). +Hands-on experience with cloud services (AWS, GCP, or Azure) and MLOps tools. +Familiarity with version control (Git), CI/CD pipelines, and containerization. +Strong problem-solving skills and ability to work in a fast-paced environment. +Excellent communication and teamwork skills. + +Preferred Qualifications: +Experience in natural language processing (NLP), computer vision, or reinforcement learning. +Knowledge of model explainability, fairness, and AI ethics. +Experience with edge AI and on-device machine learning. \ No newline at end of file diff --git a/job-postings/30-03-2025/65.txt b/job-postings/30-03-2025/65.txt new file mode 100644 index 0000000000000000000000000000000000000000..d095d9022d6358618d3277d13487087b7fc5347f --- /dev/null +++ b/job-postings/30-03-2025/65.txt @@ -0,0 +1,54 @@ +Company Summary + +Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. + +Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. + +At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. + +If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. + +Sr. Program Manager, Machine Learning + +Lila Sciences is an early-stage seed company at the forefront of AI/ML research, and we’re looking for a Program Manager who can help lead our pioneering ML efforts. In this role, you will bridge the gap between cutting-edge research and program execution, ensuring our machine learning initiatives not only meet our current experimental needs but also lay the groundwork for a transformative future. + +Key Responsibilities: + +Guide the overarching ML program, ensuring strategic alignment and translating research insights into actionable initiatives. +Evaluate and integrate emerging technologies to shape and refine program objectives in a dynamic environment. +Lead technical projects, ensuring the robustness and scalability of the technology stack while aligning with organizational goals. +Manage and maintain data quality and relevance, collaborating across teams to set and monitor performance metrics. +Serve as the key interface between technical and business teams, effectively communicating complex outcomes and securing necessary resources. +Implement best practices for rapid experimentation and iteration, facilitating efficient and agile program progression. +Develop clear documentation and reporting to communicate vision, progress, and align initiatives with organizational priorities. +Foster a culture of continuous innovation and experimentation by staying informed about AI/ML advancements and recommending strategic improvements. + +Qualifications: + +Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a strong focus on AI/ML technologies. +Proven experience in program management within research-driven or early-stage environments. +Familiarity with ML frameworks and data management tools, with a track record of translating complex research into strategic program initiatives. +Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps. +Excellent organizational and communication skills, with experience leading cross-functional teams and driving programs to successful completion. + +Preferred Qualifications: + +A proactive leader passionate about transforming research insights into tangible program value. +Skilled at managing both technical and operational aspects of early-stage program development, ensuring alignment with strategic business objectives. +Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration. + +Working at Lila, you would have access to advanced technology in the areas of: + +AI experimental design and simulation +Automated custom instrumentation +Generative molecular and material design + +More About Flagship Pioneering + +Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. + +Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. \ No newline at end of file diff --git a/job-postings/30-03-2025/66.txt b/job-postings/30-03-2025/66.txt new file mode 100644 index 0000000000000000000000000000000000000000..a36dd80e2ff28723eb1478d0d7827f23b2ef95f7 --- /dev/null +++ b/job-postings/30-03-2025/66.txt @@ -0,0 +1,121 @@ +About + +Overview + +The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing. + +PCSD is PNNL’s primary steward for research supported by the Department of Energy’s Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science. + +Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy + +Responsibilities + +The Future technology Computing group seeks Undergraduate interns for the summer of 2025 with background in distributed Machine learning training and inference, modern C/C++ programming, and cluster and job scheduling performance characterization and modeling. The duration of the internship is 3 months. The internship can be either remote or onsite based on the availability of the candidate. The candidate will be taught to use world leading technologies which are available at the Pacific Northwest National Laboratory. Moreover, the candidate will collaborate closely with domain scientists and computer scientists. The expected outcome involves peer reviewed publication. + +Responsibilities And Accountabilities + +Evaluating the performance of distributed machine learning models and frameworks + +Evaluating state-of-the-art compiler optimizations for machine learning models and frameworks + +Qualifications + +Minimum Qualifications: + +Candidates must have a high school diploma /GED or higher + +Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university + +Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 2.50 + +Preferred Qualifications + +Parallel programming experience (e.g., pthreads, OpenMP, MPI, CUDA) + +Some familiarity with compiler frameworks (e.g., MLIR, LLVM, TVM, XLA) + +Research Experience Preferred + +Hazardous Working Conditions/Environment + +Not Applicable + +Testing Designated Position + +This is not a Testing Designated Position (TDP) + +About PNNL + +Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! + +At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. + +Commitment to Excellence and Equal Employment Opportunity + +Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. + +Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. + +We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . + +Drug Free Workplace + +PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. + +Security, Credentialing, and Eligibility Requirements + +In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. + +For Foreign National Candidates + +If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO)risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. + +Mandatory Requirements + +Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. + +Rockstar Rewards + +Regular Hourly + +Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. + +Temporary Hourly + +Employees are offered an employee assistance program and business travel insurance. + +Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) + +Notice to Applicants + +PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. + +As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. + +Minimum Salary + +USD $16.25/Hr. + +Maximum Salary + +USD $26.00/Hr. + +Nice-to-have skills + +Machine Learning +C++ +C +Parallel Programming +MPI +CUDA +LLVM +California, United States + +Work experience + +Machine Learning +Frontend + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/67.txt b/job-postings/30-03-2025/67.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f824f6924a95f0e066744abcd6bb25ff3d8744a --- /dev/null +++ b/job-postings/30-03-2025/67.txt @@ -0,0 +1,72 @@ +About + +Summary: + +Meta is in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. + +Required Skills + +Software Engineering Manager, Machine Learning Responsibilities: + +Be both highly technical and an effective people manager + +Be a subject matter expert in an ML domain + +Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area + +Work with your team and cross functional partners to define and influence strategy + +Drive roadmap creation and execution + +Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level + +Participate in technical design + +Measure the impact of your team and set clear expectations and goals + +Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes + +Partner with leadership to influence and drive org design, contribution and prioritization + +Minimum Qualifications + +Minimum Qualifications: + +5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain + +5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP + +Demonstrated experience recruiting and managing technical teams, including performance management + +BA/BS in Computer Science (In lieu of degree, 4+ years work experience) + +Public Compensation + +$177,000/year to $251,000/year + bonus + equity + benefits + +Industry + +Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +Nice-to-have skills + +Machine Learning +C++ +Java +Python +PHP +Tennessee, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/68.txt b/job-postings/30-03-2025/68.txt new file mode 100644 index 0000000000000000000000000000000000000000..686b361e37107e7523ebbddb70bc889f6b14a420 --- /dev/null +++ b/job-postings/30-03-2025/68.txt @@ -0,0 +1,72 @@ +About + +Summary: + +Meta is in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. + +Required Skills + +Software Engineering Manager, Machine Learning Responsibilities: + +Be both highly technical and an effective people manager + +Be a subject matter expert in an ML domain + +Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area + +Work with your team and cross functional partners to define and influence strategy + +Drive roadmap creation and execution + +Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level + +Participate in technical design + +Measure the impact of your team and set clear expectations and goals + +Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes + +Partner with leadership to influence and drive org design, contribution and prioritization + +Minimum Qualifications + +Minimum Qualifications: + +5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain + +5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP + +Demonstrated experience recruiting and managing technical teams, including performance management + +BA/BS in Computer Science (In lieu of degree, 4+ years work experience) + +Public Compensation + +$177,000/year to $251,000/year + bonus + equity + benefits + +Industry + +Internet + +Equal Opportunity + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +Nice-to-have skills + +Machine Learning +C++ +Java +Python +PHP +Louisiana, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/69.txt b/job-postings/30-03-2025/69.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d4230e9f5e5a420f5cec627ea82883b66baa41d --- /dev/null +++ b/job-postings/30-03-2025/69.txt @@ -0,0 +1,114 @@ +About + +Overview + +The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing. + +PCSD is PNNL’s primary steward for research supported by the Department of Energy’s Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science. + +Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy + +Responsibilities + +The Future technology Computing group seeks Undergraduate interns for the summer of 2025 with background in distributed Machine learning training and inference, modern C/C++ programming, and cluster and job scheduling performance characterization and modeling. The duration of the internship is 3 months. The internship can be either remote or onsite based on the availability of the candidate. The candidate will be taught to use world leading technologies which are available at the Pacific Northwest National Laboratory. Moreover, the candidate will collaborate closely with domain scientists and computer scientists. The expected outcome involves peer reviewed publication. + +Responsibilities And Accountabilities + +Evaluating the performance of distributed machine learning models and frameworks + +Evaluating state-of-the-art compiler optimizations for machine learning models and frameworks + +Qualifications + +Minimum Qualifications: + +Candidates must have a high school diploma /GED or higher + +Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university + +Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 2.50 + +Preferred Qualifications + +Parallel programming experience (e.g., pthreads, OpenMP, MPI, CUDA) + +Some familiarity with compiler frameworks (e.g., MLIR, LLVM, TVM, XLA) + +Research Experience Preferred + +Hazardous Working Conditions/Environment + +Not Applicable + +Testing Designated Position + +This is not a Testing Designated Position (TDP) + +About PNNL + +Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! + +At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. + +Commitment to Excellence and Equal Employment Opportunity + +Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. + +Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. + +We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . + +Drug Free Workplace + +PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. + +Security, Credentialing, and Eligibility Requirements + +In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. + +For Foreign National Candidates + +If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO)risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. + +Mandatory Requirements + +Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. + +Rockstar Rewards + +Regular Hourly + +Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. + +Temporary Hourly + +Employees are offered an employee assistance program and business travel insurance. + +Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) + +Notice to Applicants + +PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. + +As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. + +Minimum Salary + +USD $16.25/Hr. + +Maximum Salary + +USD $26.00/Hr. + +Nice-to-have skills + +Parallel Programming +North Dakota, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/7.txt b/job-postings/30-03-2025/7.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1d243444af74419011990bbb2f2ec1c0f917c07 --- /dev/null +++ b/job-postings/30-03-2025/7.txt @@ -0,0 +1,32 @@ +**Posting on behalf our client** + +Overview + +Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. + +The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. + +This is an exciting time to join our group Customer Zero and work on something highly strategic to Microsoft. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities. + +If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us! + +We are looking for a Software Engineer with experience and exposure to full stack development. As a member of our growing org, you will play an integral part in helping create delightful user experiences, navigating us into the future and impacting on the lives of people all around the world. + +Responsibilities +Brainstorm and identify solutions to problems in the designated component +Be innovative in identifying solutions to routine problems and manual workflows +Develop, test and deploy solutions which help in improving experiences for Customers +Analyze events and telemetry from multiple sources and resolve issues +Partner with peers in team, in leveraging and extending the services and experiences + +Qualifications +Good development experience using Azure resources and services +Good exposure to VSO, Git and modern engineering practices +Well versed with Agile development methodology +Hands-on experience or exposure to React and/or other JavaScript Frameworks would be a plus +Good experience using Microsoft technology stack and/or other stack (.NET framework, Java, C#, PowerShell, SQL, REST services, Node.JS. +Good verbal and written communication skills. +4+ years of relevant work experience. +Relevant educational background +Hands-on experience or exposure to React and/or other JavaScript Frameworks would be a plus +Experience/exposure in working with D365 or other CRM suite of products is a plus \ No newline at end of file diff --git a/job-postings/30-03-2025/70.txt b/job-postings/30-03-2025/70.txt new file mode 100644 index 0000000000000000000000000000000000000000..871965e18044a74a51214aa595712d629098b23b --- /dev/null +++ b/job-postings/30-03-2025/70.txt @@ -0,0 +1,43 @@ +About + +Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry + +is seeking a + +Principal Data & ML Scientist + +to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. + +Requirements: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. + +Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. + +Nice-to-have skills + +Machine Learning +Data Science +Strategic Planning +Deployment +Cross-functional Collaboration +Mentoring +Deep Learning +Computer Science +Computer Vision +Python +PyTorch +TensorFlow +Pandas +Numpy +Statistics +Version Control +Maryland, United States + +Work experience + +Machine Learning +Data Engineer +Data Scientist + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/71.txt b/job-postings/30-03-2025/71.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ef85d57a23f663ba104d79d69157d9fcd940a03 --- /dev/null +++ b/job-postings/30-03-2025/71.txt @@ -0,0 +1,114 @@ +About + +Overview + +The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing. + +PCSD is PNNL’s primary steward for research supported by the Department of Energy’s Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science. + +Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy + +Responsibilities + +The Future technology Computing group seeks Undergraduate interns for the summer of 2025 with background in distributed Machine learning training and inference, modern C/C++ programming, and cluster and job scheduling performance characterization and modeling. The duration of the internship is 3 months. The internship can be either remote or onsite based on the availability of the candidate. The candidate will be taught to use world leading technologies which are available at the Pacific Northwest National Laboratory. Moreover, the candidate will collaborate closely with domain scientists and computer scientists. The expected outcome involves peer reviewed publication. + +Responsibilities And Accountabilities + +Evaluating the performance of distributed machine learning models and frameworks + +Evaluating state-of-the-art compiler optimizations for machine learning models and frameworks + +Qualifications + +Minimum Qualifications: + +Candidates must have a high school diploma /GED or higher + +Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university + +Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 2.50 + +Preferred Qualifications + +Parallel programming experience (e.g., pthreads, OpenMP, MPI, CUDA) + +Some familiarity with compiler frameworks (e.g., MLIR, LLVM, TVM, XLA) + +Research Experience Preferred + +Hazardous Working Conditions/Environment + +Not Applicable + +Testing Designated Position + +This is not a Testing Designated Position (TDP) + +About PNNL + +Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! + +At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. + +Commitment to Excellence and Equal Employment Opportunity + +Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. + +Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. + +We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov . + +Drug Free Workplace + +PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. + +Security, Credentialing, and Eligibility Requirements + +In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. + +For Foreign National Candidates + +If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO)risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. + +Mandatory Requirements + +Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. + +Rockstar Rewards + +Regular Hourly + +Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. + +Temporary Hourly + +Employees are offered an employee assistance program and business travel insurance. + +Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards) + +Notice to Applicants + +PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. + +As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. + +Minimum Salary + +USD $16.25/Hr. + +Maximum Salary + +USD $26.00/Hr. + +Nice-to-have skills + +Parallel Programming +Nebraska, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/72.txt b/job-postings/30-03-2025/72.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d6400eeb23d188f8b215454baaf4c0657dbadb5 --- /dev/null +++ b/job-postings/30-03-2025/72.txt @@ -0,0 +1,79 @@ +About + +Overview + +Own Your Future. + +Modern Technology Solutions, Inc. (MTSI), is seeking an MBSE/Aerospace Engineer in Niceville, FL. + +Why is MTSI known as a Great Place to Work? + +Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance. + +Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security. +Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry. +100% Employee Ownership: we have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year. +Great Benefits - Most Full-Time Staff Are Eligible for: +Starting PTO accrual of 20 days PTO/year + 10 holidays/year +Flexible schedules +6% 401k match with immediate vesting +Semi-annual bonus eligibility (July and December) +Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account +Up to $10,000 in annual tuition reimbursement +Other company funded benefits, like life and disability insurance +Optional zero deductible Blue Cross/Blue Shield health insurance plan +Track Record of Success: We have grown every year since our founding in 1993 + +MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. + +For more information about MTSI, please visit www.mtsi-va.com. + +Responsibilities + +Support the identification of Artificial Intelligence and Machine Learning technologies and their potential application to DoD and Commercial customers +Support proposal development for DoD and Commercial opportunities +Explore and understand AI/ML developments and emerging AI-related technologies to understand how they can be integrated into current and potential projects +Participate in peer/technical reviews for developed AI/ML concepts and software +Follow established software development best-practices for open architecture, safety, security and information assurance/cyber security +Follow established regulations, policies, and standards to ensure AI/ML applications are safe, reliable, and robust +Work within a diverse team to develop and integrate AI/ML new and novel concepts +Communicate highly technical problems and solutions at all levels of management + +Qualifications + +B.S. (or higher) in computer science, data science, engineering, math, statistics, operations research or related field. +Three or more years of experience applying AI/ML concepts to practical DoD or Commercial applications to include algorithm design and implementation within code +Practical programming experience using Python or C++ +Ability to obtain a security clearance + +Desired Qualifications + +Current secret (or higher) security clearance +Experience implementing eveloping Kubernetes YAML files and deploying Kubernetes/Istio objects +CompTIA Security+ +AWS Certified +Familiar with the DoD RAI Toolkit and the DoD Task Force Lima GenAI Guidelines and Guardrails +Experience with Java and Java Script + +Please Note: U.S. Citizenship is required for most MTSI positions. + +Nice-to-have skills + +Artificial Intelligence +Machine Learning +Python +C++ +Kubernetes +YAML +AWS +Java +JavaScript +Kentucky, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/73.txt b/job-postings/30-03-2025/73.txt new file mode 100644 index 0000000000000000000000000000000000000000..205e3c1ead6797400b7327aee02c8291b7a55a2e --- /dev/null +++ b/job-postings/30-03-2025/73.txt @@ -0,0 +1,38 @@ +About + +Our Company + +Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. + +We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity + +This role is part of Adobe's Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Lead Machine Learning Engineer to drive the development and deployment of our key data science models into a scalable and robust production system. This role will work closely with our data science, engineering, and software development teams to craft, build, and optimize a production-grade infrastructure for machine learning models. Your expertise will be crucial in translating sophisticated models into robust, performant, and scalable solutions that drive tangible business value and technological innovation. The perfect candidate will combine advanced technical expertise with strong communication and a dedication to pushing the limits of machine learning engineering. What you'll Do + +Partner with marketing execution and analytics teams to translate business questions into actionable technical approaches Partner with data scientists to refine and deploy models Balance technical capabilities with business needs, ensuring practical, high-impact solutions Continuously improve modeling techniques and capabilities as the analytical landscape evolves Work with engineering teams to integrate models into production environments Implement MLOps standard methodologies, covering model governance, monitoring, retraining, and versioning Collaborate with software development teams on API development and deployment strategies Collaborate with product engineering team to translate our mathematical solutions into a simulation engine product Required Qualifications + +MS/PhD or equivalent experience in Statistics, Economics, Mathematics, Computer Science, or a related quantitative field. Deep technical expertise in MMM, ML algorithms, and causal inference methods. Ability to balance business impact with technical feasibility, ensuring practical and effective solutions. Proven experience developing and productionizing business-critical models in real-world applications. Proficiency in Python, R, and cloud platforms (e.g., Azure) for scalable model training and deployment. Experience with ML model deployment and MLOps frameworks (e.g., MLflow). Experience working with engineering and software teams to design scalable infrastructure, API development, and microservices Proven ability to build collaborative, multi-functional relationships. A curious, motivated approach with a passion for learning new skills, tools, and techniques! Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $142,700 -- $257,600 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. + +At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. + +Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more. + +Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailaccommodations@adobe.comor call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. + +Nice-to-have skills + +Machine Learning +Python +R +Azure +Microservices +California, United States + +Work experience + +Machine Learning +Data Engineer +Data Infrastructure + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/74.txt b/job-postings/30-03-2025/74.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9b7188dfc852edad16e010f6ec295e205b12baa --- /dev/null +++ b/job-postings/30-03-2025/74.txt @@ -0,0 +1,26 @@ +About + +Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. The ML Platform team builds tools & infra that empower all ML Engineers at Waymo to experiment & deploy ML models efficiently. These systems include solutions for data mining, data labeling, data understanding, model evaluation, artifacts management, ML orchestration, and ML Ops. We are looking for a senior leader to join our team to apply ML into our product offerings, making Waymo to be more efficient in deploying ML solutions. You Will: Report into the Head of ML Platform Bring state-of-the-art ML techniques into products within Waymo's ML Platform by collaborating with others in the team Collaborate with ML practitioners on models for perception, behavior prediction and planner to understand their modeling needs to shape the solutions Example project: reinvent model evaluation at Waymo through model calibration techniques. More specifically, by calibrating the confidence score of Waymo's ML models, this will provide a more scalable way of estimating the performance of the models. By coupling this score with active learning techniques, this creates a flywheel in selecting data in improving the models autonomously. + +You Have: 8+ years of professional experience in the field of software engineering Experience in programming C++ or Python Experience with ML model development Experience in applying ML solutions to products Passionate about development efficiency & productivity + +Nice To Have: Experience in building internal toolings for ML developers Experience using open source computer vision models such as YOLO and SAM + +The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD + +Nice-to-have skills + +C++ +Python +Computer Vision +California, United States + +Work experience + +Data Engineer +Fullstack +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/75.txt b/job-postings/30-03-2025/75.txt new file mode 100644 index 0000000000000000000000000000000000000000..9953cbbe71416b2023b21c9fe89bf9892b2326d1 --- /dev/null +++ b/job-postings/30-03-2025/75.txt @@ -0,0 +1,34 @@ +About + +Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry + +is seeking a + +Principal Data & ML Scientist + +to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. + +Requirements: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. + +Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. + +Nice-to-have skills + +Python +PyTorch +TensorFlow +Pandas +Numpy +Statistics +Version Control +California, United States + +Work experience + +Machine Learning +Frontend +Computer Vision + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/76.txt b/job-postings/30-03-2025/76.txt new file mode 100644 index 0000000000000000000000000000000000000000..103608be4823b8bd4669e72d5bcd2ba3b96504f9 --- /dev/null +++ b/job-postings/30-03-2025/76.txt @@ -0,0 +1,61 @@ +About + +Overview + +Own Your Future. + +Modern Technology Solutions, Inc. (MTSI), is seeking an MBSE/Aerospace Engineer in Niceville, FL. + +Why is MTSI known as a Great Place to Work? Interesting Work: + +Our co-workers support some of the most important and critical programs to our national defense and security. Values: + +Our first core value is that employees come first. + +We Challenge Our Co-workers To Provide The Highest Level Of Support And Service, And Reward Them With Some Of The Best Benefits In The Industry. 100% Employee Ownership: + +we have a stake in each other's success, and the success of our customers. + +It's Also Nice To Know What's Going On Across The Company; We Have Company Wide Town-hall Meetings Three Times a Year. Great Benefits - Most Full-Time Staff Are Eligible For: + +Starting PTO accrual of 20 days PTO/year + 10 holidays/year Flexible schedules 6% 401k match with immediate vesting Semi-annual bonus eligibility (July and December) Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account Up to $10,000 in annual tuition reimbursement Other company funded benefits, like life and disability insurance Optional zero deductible Blue Cross/Blue Shield health insurance plan + +Track Record Of Success: + +We have grown every year since our founding in 1993 Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance. + +MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. + +For more information about MTSI, please visit + +www.mtsi-va.com . + +Responsibilities + +Support the identification of Artificial Intelligence and Machine Learning technologies and their potential application to DoD and Commercial customers Support proposal development for DoD and Commercial opportunities Explore and understand AI/ML developments and emerging AI-related technologies to understand how they can be integrated into current and potential projects Participate in peer/technical reviews for developed AI/ML concepts and software Follow established software development best-practices for open architecture, safety, security and information assurance/cyber security Follow established regulations, policies, and standards to ensure AI/ML applications are safe, reliable, and robust Work within a diverse team to develop and integrate AI/ML new and novel concepts Communicate highly technical problems and solutions at all levels of management + +Qualifications + +B.S. (or higher) in computer science, data science, engineering, math, statistics, operations research or related field. Three or more years of experience applying AI/ML concepts to practical DoD or Commercial applications to include algorithm design and implementation within code Practical programming experience using Python or C++ Ability to obtain a security clearance Desired Qualifications Current secret (or higher) security clearance Experience implementing eveloping Kubernetes YAML files and deploying Kubernetes/Istio objects CompTIA Security+ AWS Certified Familiar with the DoD RAI Toolkit and the DoD Task Force Lima GenAI Guidelines and Guardrails Experience with Java and Java Script Please Note: + +U.S. Citizenship is required for most MTSI positions. + +Nice-to-have skills + +Artificial Intelligence +Machine Learning +Python +C++ +Kubernetes +AWS +Java +JavaScript +Alabama, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/77.txt b/job-postings/30-03-2025/77.txt new file mode 100644 index 0000000000000000000000000000000000000000..c71a634ed8e51edc62dffbe53e35f4a74fc79e58 --- /dev/null +++ b/job-postings/30-03-2025/77.txt @@ -0,0 +1,79 @@ +About + +Overview + +Own Your Future. + +Modern Technology Solutions, Inc. (MTSI), is seeking an MBSE/Aerospace Engineer in Niceville, FL. + +Why is MTSI known as a Great Place to Work? + +Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance. + +Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security. +Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry. +100% Employee Ownership: we have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year. +Great Benefits - Most Full-Time Staff Are Eligible for: +Starting PTO accrual of 20 days PTO/year + 10 holidays/year +Flexible schedules +6% 401k match with immediate vesting +Semi-annual bonus eligibility (July and December) +Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account +Up to $10,000 in annual tuition reimbursement +Other company funded benefits, like life and disability insurance +Optional zero deductible Blue Cross/Blue Shield health insurance plan +Track Record of Success: We have grown every year since our founding in 1993 + +MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. + +For more information about MTSI, please visit www.mtsi-va.com. + +Responsibilities + +Support the identification of Artificial Intelligence and Machine Learning technologies and their potential application to DoD and Commercial customers +Support proposal development for DoD and Commercial opportunities +Explore and understand AI/ML developments and emerging AI-related technologies to understand how they can be integrated into current and potential projects +Participate in peer/technical reviews for developed AI/ML concepts and software +Follow established software development best-practices for open architecture, safety, security and information assurance/cyber security +Follow established regulations, policies, and standards to ensure AI/ML applications are safe, reliable, and robust +Work within a diverse team to develop and integrate AI/ML new and novel concepts +Communicate highly technical problems and solutions at all levels of management + +Qualifications + +B.S. (or higher) in computer science, data science, engineering, math, statistics, operations research or related field. +Three or more years of experience applying AI/ML concepts to practical DoD or Commercial applications to include algorithm design and implementation within code +Practical programming experience using Python or C++ +Ability to obtain a security clearance + +Desired Qualifications + +Current secret (or higher) security clearance +Experience implementing eveloping Kubernetes YAML files and deploying Kubernetes/Istio objects +CompTIA Security+ +AWS Certified +Familiar with the DoD RAI Toolkit and the DoD Task Force Lima GenAI Guidelines and Guardrails +Experience with Java and Java Script + +Please Note: U.S. Citizenship is required for most MTSI positions. + +Nice-to-have skills + +Artificial Intelligence +Machine Learning +Python +C++ +Kubernetes +AWS +Java +JavaScript +Indiana, United States + +Work experience + +Machine Learning +Cyber Security Specialist + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/78.txt b/job-postings/30-03-2025/78.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d3eeb57a174f5bdabd6c5e8de913f249fdcb758 --- /dev/null +++ b/job-postings/30-03-2025/78.txt @@ -0,0 +1,61 @@ +About + +Select how often (in days) to receive an alert: + +JOIN OUR TALENT NETWORK + +Data Analyst and Machine Learning Researcher + +Apply now + +Date + +Mar 21, 2025 + +Location: Lexington, MA, US + +Company: MIT Lincoln Laboratory + +The Interceptor and Sensor Technology Group is dedicated to advancing sensor and interceptor technologies for future surveillance, missile defense, and air defense systems. Our multidisciplinary team is currently engaged in the development of next generation capabilities for air, missile, and hypersonic defense architectures. Particular focus is given to assessing adversary capabilities and researching novel technologies in the context of the defense kill chain. In addition, concepts will be prototyped, tested, and matured in support of Department of Defense efforts. Job Description Data Analyst and Machine Learning Researcher We are seeking a talented analyst to join a team supporting a portfolio of programs focused on data analysis, threat assessment, and algorithm development. In this role, the candidate will support the analysis of experimental data leveraging artificial intelligence and machine learning (AI/ML) and physics-based techniques. Key Responsibilities: Work with a highly collaborative team to develop, research, and analyze concepts for next-generation defense technology solutions. Assess adversary capabilities to inform defense requirements Analyze laboratory, ground, and flight data to draw out insights to inform technology development and government acquisition strategies. Integrate with algorithm and AI/ML research programs and develop tools and applications for next-generation defense capability. Some focus areas include: Physics-informed machine learning Computer vision, 2-D to 3-D object reconstruction, pose estimation Sensor data/signal interpretation, e.g., Radar, Infrared, etc. Bayesian techniques, e.g. Simulation-Based Inference Model optimization and fitting Benchmark and assess algorithm performance in the context of Warfighter needs and the missile and hypersonic defense kill chain. Communicate findings and progress with technical and non-technical audiences, including peers and sponsors. + +Desired Qualifications: Proven analytical skills as evidenced in academic research or internship projects. Extensive experience analyzing experimental data. Experience in interpreting real-world sensor measurements. Experience applying AI/ML to data analysis (e.g. time-series, imagery) Familiarity with industry-standard AI/ML implementations (e.g. CUDA) Demonstrated programing skills in MATLAB, Python, R, or C++ Demonstrated ability to solve technical problems both individually and as part of a team Capability to set and achieve personal and project goals in a timely manner. Significant initiative and ability to perform independent research, set, and meet critical milestones. + +Requirements: Bachelor's degree in Physics, Data Science, Computer Science, Aerospace Engineering, or Mathematics. Minimum GPA of 3.7. If you're driven by innovation and eager to work in a collaborative and fast-paced environment, we encourage you to apply and be part of our pioneering efforts in defense technology. + +At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: Comprehensive health, dental, and vision plans MIT-funded pension Matching 401K Paid leave (including vacation, sick, parental, military, etc.) Tuition reimbursement and continuing education programs Mentorship programs A range of work-life balance options ... and much more! + +Please visit our Benefits pagefor more information. As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks. Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 41779 + +Nearest Major Market + +Boston + +Job Segment: Military Intelligence, Defense, DoD, Data Analyst, Physics, Government, Data, Science + +Apply now + +Find Similar Jobs + +Engineering, Air, Missile, and Maritime Defense Technology + +Nice-to-have skills + +Python +R +C++ +Matlab +Artificial Intelligence +Machine Learning +CUDA +Computer Vision +Massachusetts, United States + +Work experience + +Data Engineer +Machine Learning +Data Analyst + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/79.txt b/job-postings/30-03-2025/79.txt new file mode 100644 index 0000000000000000000000000000000000000000..64b5fe0ceca27d49dde9dace4075ed87af43544e --- /dev/null +++ b/job-postings/30-03-2025/79.txt @@ -0,0 +1,46 @@ +About + +Senior Machine Learning Engineer + +Job Locations + +US-VA-Crystal City + +Job ID + +2025-2573 + +Clearance Level + +Top Secret SCI + +Overview + +Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities + +Job Description + +Iron EagleX is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Crystal City, VA. The ideal candidate will specialize in AI-driven automation, prompt engineering, and machine learning model optimization to deliver innovative solutions to real-world challenges. This role requires expertise in large language models (LLMs), AI agent workflows, and the development of efficient AI solutions. The position is primarily on-site, with potential for hybrid work based on project needs. Job Duties + +Include (but not limited to): Develop, optimize, and implement AI workflows with a strong focus on prompt engineering and automation. + +Design and fine-tune machine learning models to enhance performance and effectiveness. Research and apply best practices for large language model (LLM) utilization, including prompt orchestration and fine-tuning techniques. Develop and integrate AI agents into data workflows, leveraging state-of-the-art frameworks. Apply advanced prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, self-consistency, and retrieval-augmented generation. Utilize frameworks like LangChain and DSPy to design, test, and optimize prompts. Address token limitations, cost trade-offs, and model-specific constraints across various LLMs (ChatGPT, Claude, Llama, Mistral, etc.). Implement model fine-tuning methods, including soft prompting, adapters, and supervised fine-tuning. Develop AI-driven automation workflows using agent-based architectures and frameworks such as LangGraph and OpenAI function calling. Write, test, and maintain Python code for AI model development and integration. Utilize version control systems (Git) to manage code changes and collaboration + +Qualifications + +Required Skills & Experience: Minimum of 5 years of experience in machine learning, AI model development, or related fields. Proficiency in prompt engineering and LLM optimization techniques. Hands-on experience with frameworks such as LangChain, DSPy, and LangGraph. Strong understanding of AI workflow automation and agent-based architectures. Solid Python programming skills and experience with version control (Git). Familiarity with Agile development methodologies. Due to US Government Contract Requirements, only US Citizens are eligible for this role. Desired Skills and Experience: Master's, Ph.D, or coursework/certifications in a related field Familiarity with reinforcement learning and other advanced ML techniques. Experience deploying AI models in production environments. Education & Certifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus. Security Clearance: An active TS/SCI security clearance is REQUIRED. Candidates without this clearance will not be considered. Benefits: National Health, vision and dental plans 20 days of PTO and 11 paid holidays Life Insurance Short - and long-term disability plans 401(K) retirement plans Incentive and recognition programs Relocation opportunities Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans + +Nice-to-have skills + +Prompt Engineering +Python +Git +Virginia, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/8.txt b/job-postings/30-03-2025/8.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc3c93a55fb586cf388412014c7840c50f474fb1 --- /dev/null +++ b/job-postings/30-03-2025/8.txt @@ -0,0 +1,29 @@ +Company Description +As a venture-backed startup, we are pioneering the next generation of autonomous driving with AI-Defined Vehicles - a leap beyond the latest software-defined vehicles. Our mission is to build the world's most intelligent autonomous vehicle that caters to your every need, before you even know it. + +We are looking for a Sr. Machine Learning Engineer to develop and optimize cutting-edge autonomy. If you have industry experience and are passionate about pushing the boundaries of machine learning, LLM/VLMs, and autonomous systems, we want you on our team. + +Role Description +Develop, fine-tune, and optimize deep learning systems for autonomy, perception, and decision-making. +Research and implement multi-modal AI systems, combining vision, language, and reinforcement learning. +Enhance self-supervised and semi-supervised learning methods for training models on large-scale driving data. +Collaborate with software, simulation, and cloud engineering teams to deploy ML models into production-grade autonomy stacks. +Design and maintain scalable data pipelines for ingesting and processing sensor fusion data (LiDAR, radar, cameras). +Optimize model inference for real-time performance on embedded and cloud-based platforms. +Conduct model evaluations, performance tuning, and failure analysis to improve robustness and generalization. + +Qualifications +Ph.D. or Master's degree in machine learning, computer science, statistics, controls or a related field. +3+ years of experience in machine learning, deep learning, or AI engineering. +Expertise in LLM/VLM model architectures, training techniques, and fine-tuning. +Strong background in autonomous systems, reinforcement learning, or robotics. +Hands-on experience with computer vision for perception tasks (e.g., object detection, segmentation, sensor fusion). +Proficiency in Python, TensorFlow, PyTorch, and deep learning frameworks. +Experience with AWS (S3, EC2, SageMaker, Lambda, etc.) for ML training and deployment. +Knowledge of data engineering practices for large-scale ML pipelines. +Strong algorithmic and problem-solving skills, with experience optimizing models for embedded and cloud-based environments. +Experience working with autonomous driving stacks. +Familiarity with distributed training, federated learning, and on-device AI optimization. +Exposure to self-supervised learning, generative AI, and multi-modal architectures. +Understanding of simulation environments for AI model validation. +Knowledge of automotive systems and functional safety requirements is preferred. \ No newline at end of file diff --git a/job-postings/30-03-2025/80.txt b/job-postings/30-03-2025/80.txt new file mode 100644 index 0000000000000000000000000000000000000000..40a0637f3e501a96f2c2a839b5f3fcd692d2229a --- /dev/null +++ b/job-postings/30-03-2025/80.txt @@ -0,0 +1,85 @@ +About + +Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. This team provides a single source of accurate and reliable business data for the entire enterprise allowing multiple business units to make data driven decisions that benefit Capital One as a whole. Working closely with Data Engineering you will be involved in model deployment from ideation to post production. We score billions of record pairs with our XGBoost model, cluster them into business entities then load them into the cloud and our Elasticsearch API for customer use. This role combines big data at scale with insights from machine learning algorithms! What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: + +Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. + +Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). + +Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. + +Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. + +Retrain, maintain, and monitor models in production. + +Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. + +Construct optimized data pipelines to feed ML models. + +Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. + +Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. + +Use programming languages like Python, Scala, or Java. + +Basic Qualifications: Bachelor's degree + +At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) + +At least 4 years of experience programming with Python, Scala, or Java + +At least 2 years of experience building, scaling, and optimizing ML systems + +Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field + +3+ years of experience building production-ready data pipelines that feed ML models + +3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow + +2+ years of experience developing performant, resilient, and maintainable code + +2+ years of experience with data gathering and preparation for ML models + +2+ years of people leader experience + +1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation + +Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform + +Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance + +ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents + +At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer + +Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. + +Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. + +If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). + +Nice-to-have skills + +Python +Scala +Java +XGBoost +Elasticsearch +Scikit-learn +PyTorch +Spark +TensorFlow +AWS +Azure +Google Cloud Platform +Virginia, United States + +Work experience + +Machine Learning +Data Engineer +Fullstack + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/81.txt b/job-postings/30-03-2025/81.txt new file mode 100644 index 0000000000000000000000000000000000000000..579592bc53311bd3815121ed64f8195b66724566 --- /dev/null +++ b/job-postings/30-03-2025/81.txt @@ -0,0 +1,35 @@ +About + +AI / Machine Learning Researcher At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We're seeking a future team member for the role of + +AI / Machine Learning Researcher + +to join our + +AI + +ENGINEERING HUB + +team. This role is located in Pittsburgh, PA -Hybrid (3 days in office). In this role, you'll make an impact in the following ways: Leads research initiatives, provides strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products. Hasdeep knowledge of the AI and Machine Learning field, and the practical applications of ML/AI concepts. Conduct technical research studies to provide additional facts needed to make informed strategic decisions. Establishes strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan. Provides expertise in the most complex processes of integrating ML/AI across existing and modified applications. Collaborates with and supports leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results. Stays abreast of emerging technologies and identifies potential use of new and existing technology within lines of business by participating in industry-wide conferences and research and by having in-depth knowledge of various business areas. Contributes to the achievement of Application Development objectives. Mentors and develops a successful team of machine learning engineers. + +To be successful in this role, we're seeking the following: Bachelor's degree in STEM engineering or equivalent work experience required; PHD is preferred. 7-9 years of related experience required; experience in the securities or financial services industry is a plus. Published work on top tier AI Conferences Ability to communicate technical ideas and express complex concepts to different types of audience Research experience in AI, Machine Learning, Reinforcement Learning, Natural Language Processing + +At BNY, our culture speaks for itself. Here's a few of our awards: America's Most Innovative Companies, Fortune, 2024 World's Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion, Disability: IN - 100% score, 2023-2024 "Most Just Companies", Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg's Gender Equality Index (GEI), 2023 + +Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. + +Nice-to-have skills + +Machine Learning +Machine Learning +Artificial Intelligence +Pennsylvania, United States + +Work experience + +Machine Learning +NLP + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/82.txt b/job-postings/30-03-2025/82.txt new file mode 100644 index 0000000000000000000000000000000000000000..80725e157f120a4a4411a2b42c03faac0991adf1 --- /dev/null +++ b/job-postings/30-03-2025/82.txt @@ -0,0 +1,33 @@ +About + +Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is looking for a + +Senior Machine Learning Engineer + +to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can't imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter. What You'll Do: At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively + +What We're Looking For: Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow) Successful candidates in this role need to be able to bridge state of the art approaches to real world impact A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems An engineer with a self-driven attitude who can own problems and deliver solutions Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis Experience building and consuming CI/CD pipelines Someone who knows their way around the command line and has experience working with *nix systems 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products 3+ years experience leading cross-team engineering efforts Strong execution skills in project management Must be a US Citizen or Green Card holder (ITAR) + +Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. + +Nice-to-have skills + +Machine Learning +Deep Learning +PyTorch +TensorFlow +Distributed Systems +SQL +NoSQL +Database Design +Data Analysis +Project Management +Maryland, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/83.txt b/job-postings/30-03-2025/83.txt new file mode 100644 index 0000000000000000000000000000000000000000..71bba19aee2331880c7d1145d4f92e297e71df6d --- /dev/null +++ b/job-postings/30-03-2025/83.txt @@ -0,0 +1,35 @@ +About + +Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry + +is seeking a + +Principal Data & ML Scientist + +to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. + +Requirements: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. + +Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. + +Nice-to-have skills + +Python +PyTorch +TensorFlow +Pandas +Numpy +Statistics +Optimization +Cloud Computing +Massachusetts, United States + +Work experience + +Machine Learning +Data Analyst +Data Scientist + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/84.txt b/job-postings/30-03-2025/84.txt new file mode 100644 index 0000000000000000000000000000000000000000..fac61d796201c1ffa3afaf04556f7fa188fc6fc3 --- /dev/null +++ b/job-postings/30-03-2025/84.txt @@ -0,0 +1,16 @@ +About + +Join a leading AI start-up as a Machine Learning Engineer, where you will work on exciting projects that push the boundaries of technology. Requirements: Proven experience in a start-up environment with a strong background in AI/ML engineering. Bachelor's degree from a top 50 Computer Science institution. Responsibilities: Develop and curate datasets, benchmark models, and establish evaluation metrics for our innovative voice agent platform. Train and fine-tune various audio and large language models to enhance accuracy, reduce latency, and incorporate domain-specific expertise. Collaborate with engineering teams to seamlessly integrate, monitor, and optimize models within production environments. Design and manage a scalable human evaluation pipeline to ensure quality and performance. Stay at the forefront of AI advancements, exploring and benchmarking the latest models. Create robust ML infrastructure and facilitate deployment within our system for scalability and efficiency. + +Nice-to-have skills + +Machine Learning +California, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/85.txt b/job-postings/30-03-2025/85.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbf716df22aae07b64223228562227efb73c7885 --- /dev/null +++ b/job-postings/30-03-2025/85.txt @@ -0,0 +1,20 @@ +About + +We are excited to announce an opportunity with one of our Series A investment partners that is on the lookout for an expert in Model Performance, Inference, and High-Performance Computing. This position offers flexibility for full-time remote work. Key Qualifications: 5+ years of professional experience in C++, with at least 1 year focused on ML Inference and Model Performance. Strong proficiency in GPU Architectures and proven CUDA programming skills are highly desired. Important: + +Due to the high volume of applications we often receive, only candidates selected for potential matches will receive follow-up communication. About Our Team: As full-time, salaried employees of Greylock, we operate without any associated fees. Our team specializes in providing free candidate referrals and introductions to our active investments, continually expanding our network of talent. + +Nice-to-have skills + +C++ +California, United States + +Work experience + +Machine Learning +Cyber Security Specialist +Cloud Architect + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/86.txt b/job-postings/30-03-2025/86.txt new file mode 100644 index 0000000000000000000000000000000000000000..04c4eea87da1f5d4fa2190819d1cf4d352cae797 --- /dev/null +++ b/job-postings/30-03-2025/86.txt @@ -0,0 +1,16 @@ +About + +Job Summary We are seeking a Generative AI / ML Researcher with 3 to 7 years of experience proficient in PySpark and Python3 to join our dynamic team. The ideal candidate will have a strong background in Auto-Detailed design. This hybrid role requires occasional travel and operates during day shifts. The successful candidate will contribute to innovative projects that drive our company's success and impact the industry. Responsibilities Lead the development and implementation of software solutions using PySpark and Python3 to meet project requirements. Oversee the design and development of detailed auto-design projects ensuring high-quality deliverables. Provide technical expertise and guidance to team members fostering a collaborative and productive work environment. Collaborate with cross-functional teams to gather and analyze requirements translating them into technical specifications. Develop and maintain comprehensive documentation for all projects ensuring clarity and consistency. Conduct code reviews and provide constructive feedback to ensure code quality and adherence to best practices. Troubleshoot and resolve technical issues ensuring minimal disruption to project timelines. Stay updated with the latest industry trends and technologies incorporating them into project development when applicable. Participate in project planning and estimation contributing to the successful delivery of projects on time and within budget. Ensure compliance with company policies and procedures maintaining a high standard of work ethics. Engage in continuous learning and professional development to enhance technical skills and domain knowledge. Communicate effectively with stakeholders providing regular updates on project progress and addressing any concerns. Contribute to the company's mission by delivering innovative solutions that improve efficiency and drive business growth. Qualifications Must have strong experience in PySpark and Python3 with a proven track record of successful project implementations. Must have expertise in Auto-Detailed design with the ability to create detailed and accurate design documents. Should have excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues. Should have strong communication skills with the ability to convey technical information to non-technical stakeholders. Should have experience working in a hybrid work model with the flexibility to travel as required. Nice to have experience in leading a team with the ability to mentor and guide junior developers. Nice to have familiarity with agile methodologies with experience in project planning and estimation. Nice to have a proactive approach to learning with a commitment to staying updated with the latest industry trends. Certifications Required Certified PySpark Developer Certified Python Programmer + +Nice-to-have skills + +PySpark +Michigan, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/87.txt b/job-postings/30-03-2025/87.txt new file mode 100644 index 0000000000000000000000000000000000000000..e97384a067686ba875f2ab2787da07afe30e5cb3 --- /dev/null +++ b/job-postings/30-03-2025/87.txt @@ -0,0 +1,55 @@ +About + +Build the future of the AI Data Cloud. Join the Snowflake team. The Snowflake Machine Learning Platform team's mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our customers want to build powerful models with the ever increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and enable end to end ML workflows. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance. We are looking for outstanding technical leaders who will play a pivotal role in this journey by understanding Snowflake's core platform architecture and evolving it to enable state of the art machine learning workloads, including LLMs. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers. This position is based in San Mateo, CA or Bellevue, WA RESPONSIBILITIES: + +Help define and own the roadmap, working collaboratively and proactively with senior architects, PMs and team leadership. The initiatives include platforms and tools that enable customers to do state of the art machine learning on Snowflake natively. + +Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team's business objectives. + +Ensure operational excellence of the services and meet the commitments to our customers regarding reliability, availability, and performance. + +Collaborate across other ML partner teams to continuously improve ML development velocity and capabilities at Snowflake. + +Support team members in delivering a high level of technical quality. + +Ideal Requirements & Qualifications + +Have 8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks. + +Strong track record of working with machine learning systems and/or platforms. + +Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow. + +Experience with building batch model inference and online model serving systems. + +Have built a roadmap and vision around machine learning teams, and led technical decision making with help of architects and PMs and team. + +Have led multiple engineers in delivering large, high impact projects. + +Fluent in Python. C++ and Java experience is a plus. + +Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners. + +A growth mindset and excitement about breaking the status quo by seeking innovative solutions. + +BS/MS/PhD in Computer Science or related majors, or equivalent experience + +Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: The estimated base salary range for this role is $214,000 - $327,750. Additionally, this role is eligible to participate in Snowflake's bonus and equity plan. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. + +Nice-to-have skills + +XGBoost +PyTorch +TensorFlow +Python +C++ +Java +California, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/88.txt b/job-postings/30-03-2025/88.txt new file mode 100644 index 0000000000000000000000000000000000000000..02cbbd8cfd91ef98b0685078717125bff8986e63 --- /dev/null +++ b/job-postings/30-03-2025/88.txt @@ -0,0 +1,20 @@ +About + +We are excited to announce an opportunity with one of our Series A investment partners that is on the lookout for an expert in Model Performance, Inference, and High-Performance Computing. This position offers flexibility for full-time remote work. Key Qualifications: 5+ years of professional experience in C++, with at least 1 year focused on ML Inference and Model Performance. Strong proficiency in GPU Architectures and proven CUDA programming skills are highly desired. Important: + +Due to the high volume of applications we often receive, only candidates selected for potential matches will receive follow-up communication. About Our Team: As full-time, salaried employees of Greylock, we operate without any associated fees. Our team specializes in providing free candidate referrals and introductions to our active investments, continually expanding our network of talent. + +Nice-to-have skills + +C++ +Machine Learning +CUDA +California, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/89.txt b/job-postings/30-03-2025/89.txt new file mode 100644 index 0000000000000000000000000000000000000000..96c79a0b419c345b77a042c2dee36d6886666b69 --- /dev/null +++ b/job-postings/30-03-2025/89.txt @@ -0,0 +1,14 @@ +Company Description +AirLabOne is transforming laboratory infrastructure with intelligent digital twin technology. Through dedicated R&D, we are paving the way for the future of connected laboratories, unlocking unprecedented possibilities for innovation, efficiency, and collaboration in the lab sector. + +Role Description +This is a contract role for a Machine Learning Engineer located in Sydney, NSW. The engineer will be responsible for developing and implementing machine learning models, conducting data analysis, and contributing to algorithm design as part of an intelligent system. The ideal candidate will have strong programming skills, experience with modern ML frameworks, and the ability to work both independently and within a collaborative team environment. + +Qualifications +Strong background in machine learning and model development +Proficiency in Python and frameworks such as TensorFlow and PyTorch +Experience with data analysis, ML pipelines, and edge deployment is a plus +Excellent problem-solving and analytical skills +Ability to work independently and in a collaborative team setting +Master’s degree or higher in Computer Science, Machine Learning, or related field +Familiarity with cloud computing platforms (e.g., AWS) is a plus \ No newline at end of file diff --git a/job-postings/30-03-2025/9.txt b/job-postings/30-03-2025/9.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d83f64a5290e6e76a6935f1c476b4e747964726 --- /dev/null +++ b/job-postings/30-03-2025/9.txt @@ -0,0 +1,95 @@ +Reference: 88_25_ES_CES_RE1 + +Job title: Research engineer – Machine Learning (RE1) + +About BSC + +The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. + +It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. + +The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. + +BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. + +We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. + +In instances of equal merit, the incorporation of the under-represented sex will be favoured. + +We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. + +Context And Mission + +We are seeking a highly motivated Research Engineer with expertise in machine learning, data science, or computational environmental sciences to contribute to cutting-edge research in Earth Sciences. + +The selected candidate will play a key role in developing and optimizing machine learning workflows for large-scale land-use, land-cover, and Leaf Area Index (LAI) reconstruction, supporting both historical and future climate scenarios. + +This position involves integrating deep learning models, refining data workflows, and contributing to predictive modeling efforts within multiple European projects, including TerraDT and CONCERTO. + +It builds upon methodologies established in the CERISE project and aims to generate high-resolution, temporally extended datasets to improve climate model simulations and advanced Earth system modeling capabilities. + +This role provides a unique opportunity to work with an interdisciplinary team of machine learning researchers and climate scientists. + +The team will focus on developing scalable solutions for processing and analyzing high-dimensional environmental data. + +The selected candidate will also contribute to scientific publications, project documentation, and technical reporting, collaborating on research efforts within international projects. + +Key Duties Develop and optimize large-scale machine learning workflows for Earth Science applications, focusing on land-use, land-cover, and LAI downscaling for both historical and future scenarios.Implement and evaluate deep learning architectures for predictive modeling of land-use, land-cover, and climate-related variables, while developing model evaluation methodologies, including visualization and validation tools to compare deep learning models with traditional baselines.Refactor and modularize existing machine learning pipelines to improve scalability, efficiency, and deep learning integration.Work with large geospatial datasets (NetCDF, Zarr) and optimize data processing workflows for high-performance computing (HPC) environments.Ensure that reconstructed land-use, land-cover, and LAI datasets align with Earth system modeling requirements.Participate in scientific publications and technical reporting, contributing to documentation, with opportunities to be involved in academic publications and project reporting.Requirements Education: Bachelor or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field. + +Essential Knowledge and Professional Experience: Strong programming skills in Python, with experience in machine learning libraries such as PyTorch and Scikit-learn.Proven experience in developing and training machine learning models, particularly deep learning architectures.Strong background in handling, analyzing, and validating large-scale geospatial datasets.Experience working in a UNIX-based computational environment.Additional Knowledge and Professional Experience: Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr).Experience in high-performance computing (HPC) and parallelized machine learning workflows.Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX and/or distributed training using Dask.Understanding of climate and weather models.Competences: Strong problem-solving and analytical skills, with the ability to optimize computational workflows.Ability to work independently while collaborating effectively in a research environment.Excellent communication skills, with a strong ability to document and present research findings.Proficiency in written and spoken English.Conditions The position will be located at BSC within the Earth Sciences Department. + +We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures. + +Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration. + +Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement. + +Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona. + +Starting date: 01/03/2025. + +Applications procedure and process All applications must be submitted via the BSC website and contain: + +A full CV in English including contact details.A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. + +Additionally, two references for further contacts must be included. + +Applications without this document will not be considered.Development of the recruitment process The selection will be carried out through a competitive examination system ("Concurso-Oposición"). + +The Recruitment Process Consists Of Two Phases + +Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. + +– 40 points.Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. + +In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. + +– 60 points. + +A minimum of 30 points out of 60 must be obtained to be eligible for the position.The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. + +In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. + +After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. + +At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process. + +The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile. + +At BSC, we seek continuous improvement in our recruitment processes. + +For any suggestions or comments/complaints about our recruitment processes, please contact ******. + +Deadline The vacancy will remain open until a suitable candidate has been hired. + +Applications will be regularly reviewed and potential candidates will be contacted. + +OTM-R principles for selection processes BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). + +This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc. + +BSC-CNS is an equal opportunity employer committed to diversity and inclusion. + +We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law. + +#J-18808-Ljbffr \ No newline at end of file diff --git a/job-postings/30-03-2025/90.txt b/job-postings/30-03-2025/90.txt new file mode 100644 index 0000000000000000000000000000000000000000..4295bdf6f572277e6c729dae9b691d74ac42ed66 --- /dev/null +++ b/job-postings/30-03-2025/90.txt @@ -0,0 +1,44 @@ +Please note that our customer is currently not considering applicants from the following locations: Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, and Tennessee.*** + +Our Customer is a corporation that develops, manufactures, and markets robotic products designed to improve clinical outcomes of patients through minimally invasive surgery. Founded in 1995, their goal was to create innovative, robotic-assisted systems that help empower doctors and hospitals to make surgery less invasive than an open approach. Working with the top medical professionals, they continue to develop new, minimally invasive surgical platforms and future diagnostic tools to help solve complex healthcare challenges around the world. + +Our Customer is seeking a highly skilled contract Machine Learning AI Developer to help support our Customer's business needs. This role is hybrid in Sunnvale, CA. + +In this role, you will be at the forefront of leveraging artificial intelligence to enhance the organization’s security, efficiency, and operational capabilities. + +Responsibilities + +Design, develop, and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection, anomaly detection, and risk assessment. +Develop AI-driven solutions that integrate seamlessly with existing IT infrastructure and security systems. +Collaborate with cross-functional teams to identify and prioritize AI use cases that align with organizational goals. +Build and maintain scalable data pipelines to process large volumes of logs, telemetry signals, and other relevant data sources. +Manage cloud-based AI/ML infrastructure using services such as AWS, Azure, or GCP. +Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. +Ensure the security and integrity of AI models and data throughout the development lifecycle. +Stay current with advancements in AI/ML technologies and security trends to incorporate new techniques into solutions. + +Skills And Qualifications + +Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. +Overall 10 Years experience with 3+ years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts. +Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn. +Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). +Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop). +Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems. +Excellent problem-solving skills with the ability to address complex challenges creatively. +Strong communication skills and ability to collaborate effectively across teams. + +Preferred Qualifications + +Experience with natural language processing (NLP) or large language models (LLMs). +Familiarity with DevSecOps practices and tools. +Knowledge of regulatory compliance requirements (e.g., GDPR, HIPAA). +Contributions to open-source AI/ML projects or research publications in the field. + +We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications. + +Perks are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements) + +Health Benefits: Medical, Dental, Vision, Life (including spouse & child), 401k, STD/LTD, AD&D, and Commuter Benefits program. + +An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. \ No newline at end of file diff --git a/job-postings/30-03-2025/91.txt b/job-postings/30-03-2025/91.txt new file mode 100644 index 0000000000000000000000000000000000000000..daed224bb9692f7633a456ae0c809fcb7902b091 --- /dev/null +++ b/job-postings/30-03-2025/91.txt @@ -0,0 +1,128 @@ +About + +Machine Learning Engineer Monmouth, New Jersey On-site 3 days (for now) + +Senior Software Engineers, Machine Learning Our client is a growing software company. Several key positions have opened because of this expansion including Software Engineers at Senior and Principal levels with machine learning experience. These are hybrid positions in Monmouth County. If you have solid computer science fundamentals (data structures, algorithms, etc.) and experience with C, Python and Linux you may qualify for one of these exceptional opportunities. + +No relocation, local candidates only, US citizen or green cards only. + +They are onsite 3 days per week now; this might change in the future. Candidates must be able to commute to Holmdel 3 days per week and should know that this is likely to increase. + +The Software Engineering - ML roles focus on developing and maintaining high-performance software with a strong foundation in software engineering fundamentals. The position requires expertise in designing, training, and optimizing machine learning models, particularly for anomaly and ransomware detection. The engineer will work collaboratively in a Scrum environment to deliver production-ready code, integrate components, and resolve customer issues. Proficiency in C, Python, and related libraries (e.g., pandas, scikit-learn) for Linux, along with a solid understanding of algorithms, data structures, and Agile methodologies, is essential. Strong communication, teamwork skills, and a commitment to continuous learning are key to success in this role. + +Requirements include: BS, MS or PhD in CS, CE, EE, Math, or other technical discipline; a few years of software development; Machine Learning knowledge; team player with great interpersonal skills; desire to contribute and learn; + +Develop, maintain, and support software for Linux application and will work closely with the Support Organization to resolve customer issues + + + +Continually train, evaluate, and fine tune ML models + + + +Translate forward-looking research items into production ready code/model. + + + +Work as member of a Scrum team to design and develop software components Work with other Scrum team members to integrate and test software modules. + + + +Work with QA to review test plans and support QA activities during test phases. + + + +Work with support and Product Management + + + +Provide technical leadership within assigned areas of responsibility medium-large teams/features. + +Requirements: + + + +Experience with the on-going development and maintenance of ML models with an emphasis in anomaly detection, fraud detection and/or ransomware detection. + + + +Software development in C and Python for Linux. + + + +Experience with pandas and scikit-learn in Python. + + + +Agile Development methodology. + + + +Strong Intrapersonal and teamwork skills. + + + +Strong written and oral communications skills. + + + +Enjoys working in a challenging and highly collaborative environment. + + + +Able to work as part of a team. + + + +Able to accommodate the time zone differences required to work with teams in the US and Asia. + + + +Require minimal supervision and be able to operate in a matrixed organization. + + + +Desire to learn new technologies. + + + +Bachelor’s degree in computer science or related field. + + + +Minimum of 7-10 years of professional experience in software engineering. + +Preferred: + + + +Proficient with the development of data structures and algorithms that are both performance oriented and able to scale to manage large datasets. + + + +Experience with svn, git, Jira and Confluence. + +Experience with shell scripting on Linux and Windows. + +Nice-to-have skills + +Machine Learning +C +Python +Linux +Pandas +Scikit-learn +Agile +SVN +Git +JIRA +Shell Scripting +New Jersey, United States + +Work experience + +Machine Learning + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/92.txt b/job-postings/30-03-2025/92.txt new file mode 100644 index 0000000000000000000000000000000000000000..8501b9da016713d891bf4dd5186368d147063f6d --- /dev/null +++ b/job-postings/30-03-2025/92.txt @@ -0,0 +1,34 @@ +About + +Our Company + +Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. + +We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join Adobe as a Staff Machine Learning Engineer and be part of an exceptionally hard-working team passionate about crafting world-class AI solutions. This is an outstanding opportunity to work on ambitious projects that push the boundaries of what's possible in digital experiences. Located in the heart of Silicon Valley, you'll be at the forefront of innovation, collaborating with versatile professionals to successfully implement and optimize innovative ML models. What you'll Do Experiment, design, and develop ML models to solve business use cases that can handle data of varying modality at scale. Architect and optimize end-to-end ML pipelines, ensuring scalability, testability, efficiency, observability, robustness. Understand data and schema to make recommendations for the right models, evaluation metrics, and governance approaches. Engage in product lifecycle - architecture, design, deployment, and production operations of ML models and systems. Evaluate the performance of AI models and systems through rigorous testing, experimentation, and benchmarking. Collaborate closely with cross-organization engineering teams, data scientists, and AI/ML researchers to evolve our SaaS architecture as we productize new AI-powered capabilities. Lead small team of junior and mid-level ML engineers and data scientists to deliver enterprise ML projects and features. Stay current with the latest advancements in AI and machine learning research, and proactively suggest improvements to improve our generative AI capabilities. What you need to succeed PhD or Master's degree in Computer Science, Computer Engineering, or a related field-or equivalent experience. 8+ years of proven experience as a Machine Learning Engineer with a track record of successfully delivering machine learning projects to customers. 2+ years of strong hands-on experience working on generative AI technology such as LLM, evals, LLM-as-a-judge, fine-tuning, etc. Strong Python and deep learning engineering skills and experience with one or more training or deployment environments (e.g. PyTorch, Tensorflow, JAX, Ray). Experience with LLM frameworks and tools such as HuggingFace, LangChain, PEFT, and LlamaIndex. ML lifecycle tools like MLflow, Weights & Biases, etc. Ability to fine-tune and deploy large-scale ML systems in a cost-optimal way. Understanding of the internals of (GenAI) model architectures and its correlation with GPU, TPU, and other hardware. Experience with deployment technologies such as Docker; knowledge of ML Ops and ML services is a plus. Experience with cloud platforms such as Azure and AWS is a plus. Excellent problem-solving skills, with the ability to analyze complex issues and drive solutions with a data-driven approach. Strong verbal and written communication skills, with a proven ability to work in cross-functional teams. Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $162,000 -- $301,200 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. + +At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. + +Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more. + +Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailaccommodations@adobe.comor call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. + +Nice-to-have skills + +Python +Deep Learning +PyTorch +TensorFlow +Docker +Azure +AWS +California, United States + +Work experience + +Machine Learning +Data Engineer +Data Scientist + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/93.txt b/job-postings/30-03-2025/93.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e5ee943c1b19603d986b97bd58958ad2fa666ae --- /dev/null +++ b/job-postings/30-03-2025/93.txt @@ -0,0 +1,80 @@ +About + +Overview + +Own Your Future. + +Modern Technology Solutions, Inc. (MTSI), is seeking an MBSE/Aerospace Engineer in Niceville, FL. + +Why is MTSI known as a Great Place to Work? + +Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance. + +Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security. +Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry. +100% Employee Ownership: we have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year. +Great Benefits - Most Full-Time Staff Are Eligible for: +Starting PTO accrual of 20 days PTO/year + 10 holidays/year +Flexible schedules +6% 401k match with immediate vesting +Semi-annual bonus eligibility (July and December) +Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account +Up to $10,000 in annual tuition reimbursement +Other company funded benefits, like life and disability insurance +Optional zero deductible Blue Cross/Blue Shield health insurance plan +Track Record of Success: We have grown every year since our founding in 1993 + +MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. + +For more information about MTSI, please visit www.mtsi-va.com. + +Responsibilities + +Support the identification of Artificial Intelligence and Machine Learning technologies and their potential application to DoD and Commercial customers +Support proposal development for DoD and Commercial opportunities +Explore and understand AI/ML developments and emerging AI-related technologies to understand how they can be integrated into current and potential projects +Participate in peer/technical reviews for developed AI/ML concepts and software +Follow established software development best-practices for open architecture, safety, security and information assurance/cyber security +Follow established regulations, policies, and standards to ensure AI/ML applications are safe, reliable, and robust +Work within a diverse team to develop and integrate AI/ML new and novel concepts +Communicate highly technical problems and solutions at all levels of management + +Qualifications + +B.S. (or higher) in computer science, data science, engineering, math, statistics, operations research or related field. +Three or more years of experience applying AI/ML concepts to practical DoD or Commercial applications to include algorithm design and implementation within code +Practical programming experience using Python or C++ +Ability to obtain a security clearance + +Desired Qualifications + +Current secret (or higher) security clearance +Experience implementing eveloping Kubernetes YAML files and deploying Kubernetes/Istio objects +CompTIA Security+ +AWS Certified +Familiar with the DoD RAI Toolkit and the DoD Task Force Lima GenAI Guidelines and Guardrails +Experience with Java and Java Script + +Please Note: U.S. Citizenship is required for most MTSI positions. + +Nice-to-have skills + +Artificial Intelligence +Machine Learning +Python +C++ +Kubernetes +AWS +Java +JavaScript +Oklahoma, United States + +Work experience + +Machine Learning +Fullstack +Site Reliability (SRE) + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/94.txt b/job-postings/30-03-2025/94.txt new file mode 100644 index 0000000000000000000000000000000000000000..784aa37d596180b37cbd2376dea15aee874c4316 --- /dev/null +++ b/job-postings/30-03-2025/94.txt @@ -0,0 +1,67 @@ +About + +ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Utility Computing (UC) + +All potential candidates should read through the following details of this job with care before making an application. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. + +Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. + +About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. + +Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. + +Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. + +Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. + +Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. + +Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. + +Key job responsibilities + +Integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing. +As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications. +Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements. +Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints. +Perform lint and clock domain crossing quality checks on the design. +Work with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. + +You will thrive in this role if you: + +Are familiar with scripting in Python. +Are proficient with assertions. +Have good debug skills to analyze RTL test failures. +Have a "Learn and Be Curious" mindset. + +About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. + +Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. + +BASIC QUALIFICATIONS - B.S. in Electrical Engineering or related technical field + +5+ years in RTL design for SOC +5+ years in VLSI engineering +5+ years with code quality tools including: Spyglass, LINT, or CDC PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent +Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints +Experience with automation and scripting languages such as Python +Familiarity with data path design, interconnects, AXI protocol +Good analytical, problem solving, and communication skills Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. + +#J-18808-Ljbffr + +Nice-to-have skills + +Python +SystemVerilog +California, United States + +Work experience + +Embedded +Hardware +Electronics Engineering + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/95.txt b/job-postings/30-03-2025/95.txt new file mode 100644 index 0000000000000000000000000000000000000000..49f6db5f4e14bd91f486bb76528f1963b464bdae --- /dev/null +++ b/job-postings/30-03-2025/95.txt @@ -0,0 +1,45 @@ +About + +The vast majority of enterprise data is in files like PDFs and spreadsheets. That includes everything from financial statements to medical records. Reducto helps AI teams turn those really complex documents into LLM-ready inputs with exceptional accuracy. + +Are you the right applicant for this opportunity Find out by reading through the role overview below. + +Hundreds of companies have signed up to use Reducto since our launch, and we’re now processing tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises. We’re hiring founding software engineers to help us continue to serve our customers as we build the ingestion layer that connects human data with LLMs. + +Philosophy + +As a member of our founding team you’ll work on our core API and on prem deployments. That means you’ll have a hand in everything that our customers need. We would love to meet you if you: + +Skills + +You have 2 to 5 years of experience with training, fine tuning, and evaluating ML models used in production systems Language/Skills: + +You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them. Experience: + +You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs Tools: + +Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset. Approach: + +A Quantitative Approach To Building Products. Ability To Debug, Experiment, And Iterate Fast. You Should Be Comfortable Getting Hands-on With The Full Development Lifecycle, From Ideation To Shipping To Users. The Core Work Will Include + +Training and deploying new state of the art models for parsing and interpreting unstructured data Experimenting with novel techniques to improve LLM accuracy Build data pipelines, evaluate model performance, and integrate models into the product Working directly with the founders and customers to shape the product direction and engineering strategy Bonus points if you: + +Have prior experience founding a company or building products at early stages Are ambitious and driven, and care a lot about doing great work with great people Keep up with the latest developments in ML/AI This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you. + +#J-18808-Ljbffr + +Nice-to-have skills + +Python +Computer Vision +California, United States + +Work experience + +Machine Learning +Computer Vision +Data Engineer + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/96.txt b/job-postings/30-03-2025/96.txt new file mode 100644 index 0000000000000000000000000000000000000000..1255f4c1dcdf2e66328d6af074506807c5d463db --- /dev/null +++ b/job-postings/30-03-2025/96.txt @@ -0,0 +1,29 @@ +About + +Description & Requirements + +Qualifications + +Implement the technical strategy to support our research roadmap, exploring frontier technologies to shape the future of Sports Gaming. Work with the research team to support experiments with tooling and platforms, and data acquisition and management. Facilitate the sharing of results through prototypes and compelling interactive demonstrations. Stay abreast of the latest advancements in relevant technologies and propose impactful projects to inspire creativity. Collaborate with game teams to understand their technical needs and build strategies to scale and integrate new discoveries. Collaborate with a diverse range of partners, including research, engineering, and game development teams. Your Qualifications: + +Please read the following job description thoroughly to ensure you are the right fit for this role before applying. Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. EA SPORTS revolutionizes the world of gaming by driving transformational change in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive. The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine the gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness the latest technology to uncover what makes games fun for humans. As a Machine Learning Engineer, reporting to the Director of Technology, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work alongside our researchers to streamline their research and bring our innovations to life. Your mission is to redefine what is possible in gameplay by taking our team's research from concept to reality; empower experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS. This role is open to remote candidates. Your Responsibilities: + +BS in Computer Science, mathematics or related field, or equivalent experience. Strong technical background, experience working with both research engineering and game development, and a proven track record of delivery. 3+ years of experience with AI and machine learning, their relevant tools and platforms, and its application in gaming. Expertise turning new ideas into effective implementations. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. + +#J-18808-Ljbffr + +Nice-to-have skills + +Machine Learning +Game Development +Prototyping +California, United States + +Work experience + +Machine Learning +Gaming + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/97.txt b/job-postings/30-03-2025/97.txt new file mode 100644 index 0000000000000000000000000000000000000000..34a349090a74d24fb7622feeb93e6770dde492bf --- /dev/null +++ b/job-postings/30-03-2025/97.txt @@ -0,0 +1,45 @@ +Who is Nexxen? + +Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. + +Why join the Nexxen team? + +With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. + +The Role + +The Sr. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you! + +What You Will Do + +Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product +Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance real-time ad scoring and ranking system for bid optimization +Invent and iterate novel solutions for complex ad challenges with fast turnaround. +Lead the ad algorithm architecture design and iteration of the advertising system. +Develop scalable and efficient approaches for large scale data analysis and model development. +Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization. +Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment. +Help troubleshoot production and customer issues. +Follow agile methodologies and work in a fast-paced environment where one can quickly see the results of the work being performed. +Who You Are + +Bachelors in Computer science or related field of study +5+ years of engineering experience working at leading technology companies. +A history of successfully taking ownership of features/functionality and delivering end-to-end project +Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics. +Expertise in Java, Python, and Scala. +In-depth knowledge of data structures and algorithms. +Practical experience working with large NoSQL databases like Aerospike and Cassandra. +Interest in ad campaign optimization and iterative model updates. +Experience building applications on top of large scale ML/DL frameworks (TensorFlow, PyTorch). +Expertise working with data processing tech stack (Spark, MapReduce). +Expertise in building data-driven services and applications (ETL). +Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders. +A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. +Strong communication skills with an ability to communicate complex concepts to non-technical stakeholders. +Desired Qualifications + +MS or PhD in computer science or equivalent experience. +Experience within AdTech industry. +Experience in LLM and GenAI. +In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role in New York is $180,000 - $220,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. \ No newline at end of file diff --git a/job-postings/30-03-2025/98.txt b/job-postings/30-03-2025/98.txt new file mode 100644 index 0000000000000000000000000000000000000000..5171681759dcb2d467a113e950a91e0d65f74834 --- /dev/null +++ b/job-postings/30-03-2025/98.txt @@ -0,0 +1,44 @@ +About + +Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY) Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey! Role As the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence. Responsibilities + +Design, develop, and maintain AI services in our AI platform that powers all our AI products. Implement and optimize CI/CD pipelines for machine learning model deployment. Architect and manage cloud infrastructure using Infrastructure as Code principles. Collaborate with ML Engineers and Applied Scientists to build efficient model serving systems. Monitor system performance and implement improvements for scalability. Participate in code reviews and technical documentation. Troubleshoot production issues and implement solutions. Required Qualifications + +Bachelor's degree in Computer Science, Software Engineering, or related field. 3+ years of experience in software development using languages such as Python and Golang. Strong experience with cloud platforms (AWS, GCP, or Azure). Proficiency in containerization technologies (Docker, Kubernetes). Experience with CI/CD tools (Jenkins, GitLab CI, or similar). Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar). Understanding of RESTful APIs. Knowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. PostgreSQL), vector databases. Knowledge of monitoring and observability tools (Prometheus, Grafana, Splunk). Experience with version control systems (Git) and collaborative development workflows. Preferred Qualifications + +Experience with machine learning frameworks (TensorFlow, PyTorch). Understanding of ML deployment patterns and model serving. Familiarity with MLOps practices and tools. Experience with automated testing and quality assurance. Knowledge of security best practices in cloud environments. Soft Skills + +Strong problem-solving and analytical abilities. Ability to work independently and in a team environment. Proactive approach to identifying and solving problems. Ability to learn and adapt to new technologies quickly. Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. + +Apply below after reading through all the details and supporting information regarding this job opportunity. #J-18808-Ljbffr Remote working/work at home options are available for this role. + +Nice-to-have skills + +Python +AWS +GCP +Azure +Docker +Kubernetes +Jenkins +Gitlab CI +Terraform +S3 +PostgreSQL +Prometheus +Grafana +Splunk +Git +TensorFlow +PyTorch +District of Columbia, United States + +Work experience + +Machine Learning +DevOps +Cyber Security Specialist + +Languages + +English \ No newline at end of file diff --git a/job-postings/30-03-2025/99.txt b/job-postings/30-03-2025/99.txt new file mode 100644 index 0000000000000000000000000000000000000000..328a104714555a5608f29d49aadccf4aa9da65b1 --- /dev/null +++ b/job-postings/30-03-2025/99.txt @@ -0,0 +1,45 @@ +About + +Lead Machine Learning Engineer, Associate Director + +All potential candidates should read through the following details of this job with care before making an application. Requisition ID: 47815 Business Unit: Fitch Group Category: Information Technology Location: Chicago, IL, US Date Posted: Mar 20, 2025 Fitch Group is currently seeking a Lead Machine Learning Engineer, Associate Director based out of our Chicago office. The Fitch Group's AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while collaborating with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter’s team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You’ll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language models, and agentic workflows Mentor and develop junior engineers, ensuring best practices in coding, architectural design, and project execution Drive projects and strategic initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability Translate complex data science and ML concepts for technical and non-technical audiences, fostering alignment across distributed teams Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May be a Good Fit if: 6+ years of professional experience as an AI/ML engineer, with a strong record of delivering production-quality solutions. Experience managing and mentoring technical teams, with the ability to lead people and technical strategy. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization (e.g., Docker, Kubernetes, AWS EKS) and building scalable systems in cloud environments. Deep understanding of software development fundamentals, including automated testing, source version control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully leading project initiatives and shaping technical strategies through effective team management. Familiarity with credit ratings agencies, industry regulations, and financial data products. Experience developing/integrating functionality for Document and Content Management Systems. Ability to support prototyping teams for seamless transitions from prototype to development and deployment. Passion for leveraging data and ML to drive meaningful business outcomes while fostering a collaborative team environment. Proven ability to integrate AI solutions into broader workflows and projects through cross-functional team collaboration Why Choose Fitch: Hybrid Work Environment: + +2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: + +Dedicated Trainings, Leadership Development And Mentorship Programs Designed To Ensure That Your Time At Fitch Will Be a Continuous Learning Opportunity Investing In Your Future + +Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: + +Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: + +Family-friendly Policies, Including a Generous Global Parental Leave Plan, Designed To Help You Balance Career And Family Life Effectively Inclusive Work Environment + +A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: + +Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community + +#J-18808-Ljbffr + +Nice-to-have skills + +Machine Learning +Python +AWS +Azure +PyTorch +Docker +Kubernetes +Cloud Computing +Neural Networks +Deep Learning +Illinois, United States + +Work experience + +Machine Learning +Embedded +CTO / Head of Technology + +Languages + +English \ No newline at end of file