Machine Learning Engineer, Supply Chain Optimization Technologies

Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of applying Machine Learning to solve real world problems? Do you want to play a key role in the future of Amazon's Supply Chain? Come and join us! Supply Chain Optimization Technologies (SCOT) owns Amazon’s global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We decide how to buy and move inventory within Amazon’s fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide. Venturing beyond traditional operations research methods for sequential decision-making in inventory planning, the Reinforcement Learning team is pioneering the application of reinforcement learning techniques for these applications. The team combines empirical research and real world testing, backed by a robust theoretical foundation. As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge, technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. In this role, you will work alongside other engineers and scientists to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. It will be your job to implement novel ML systems, product integrations, and performance optimizations releases into production while also ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).