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job-postings/30-03-2025/1.txt

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+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 [email protected]. 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 [email protected]
+
+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).

job-postings/30-03-2025/10.txt

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+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.

job-postings/30-03-2025/100.txt

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+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

job-postings/30-03-2025/11.txt

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+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 [email protected].

job-postings/30-03-2025/12.txt

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+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 ([email protected]) 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/ .

job-postings/30-03-2025/13.txt

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+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 [email protected].

job-postings/30-03-2025/14.txt

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+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 [email protected].

job-postings/30-03-2025/15.txt

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+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.

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

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 [email protected].

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 [email protected] . 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 [email protected]
+
+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).

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.

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

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.

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 [email protected].

job-postings/30-03-2025/22.txt

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+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 [email protected].

job-postings/30-03-2025/23.txt

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+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 [email protected] .
+
+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.

job-postings/30-03-2025/24.txt

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+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 [email protected] . 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 [email protected]
+
+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).

job-postings/30-03-2025/25.txt

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+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.

job-postings/30-03-2025/26.txt

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+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 [email protected].

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!

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!

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!

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.

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!

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!

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!

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

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!

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 [email protected].

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 [email protected].

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.

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.

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 [email protected].

job-postings/30-03-2025/4.txt

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+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.

job-postings/30-03-2025/40.txt

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+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.

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.

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.

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 [email protected].

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 [email protected].

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.

job-postings/30-03-2025/46.txt

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+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 [email protected].

job-postings/30-03-2025/47.txt

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+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 [email protected] 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

job-postings/30-03-2025/48.txt

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+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.

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.

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

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.

job-postings/30-03-2025/51.txt

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+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.

job-postings/30-03-2025/52.txt

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+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.

job-postings/30-03-2025/53.txt

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+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.