Caterpillar is hiring the best and brightest analysts, engineers, and data scientists to join its newly opened Digital & Analytics Hub located in downtown Chicago’s Merchandise Mart. As part of this growing team, the Machine Learning Engineer will develop and deploy advanced machine learning algorithms for the purposes of clustering, classification, prediction, and anomaly detection applied to topics as complex as they are diverse. Near term development work will focus on applications utilizing time-series sensor data from Cat equipment, image/video streams, and data inbound from connected manufacturing facilities, worksites, and logistics centers.
The successful candidate will have demonstrable expertise in machine learning, top analytical skills, and the capability to clearly communicate with team members, upper management, and internal business partners. Given that project specifics vary broadly and are often vaguely defined, the Machine Learning Engineer must be flexible, enjoy learning/applying new skills, and exhibit a general bias for action.
The Marketing & Digital Division is leading Caterpillar and industry by maximizing customer value and corporate competitive advantage through innovative application of data analytics to a host of digital channels inbound from connected equipment, smart factories, and global customer sites – to name just a few. Behind every customer success is the team at Caterpillar who takes raw bits and bytes of data and translates them into actionable information.
Apply now to join our team and help build what matters!
1-3 years of experience developing deep learning models using tools such as Caffe, Tensorflow, Theano, Torch, Keras, etc.
Your road to success is built through a Caterpillar career. As part of the talented Caterpillar team, you appreciate that working for a global leader creates endless opportunities for you.