Machine Learning Engineer, Supply Chain Optimization Technologies

Join Amazon's Supply Chain Optimization Technologies (SCOT) team as a Machine Learning Engineer, where you'll be at the forefront of applying ML to solve real-world supply chain problems. SCOT manages Amazon's global inventory planning systems, making crucial decisions about what, when, where, and how much to buy across hundreds of millions of items worldwide. The Reinforcement Learning team is pioneering innovative approaches to inventory planning, combining empirical research with robust theoretical foundations.

In this role, you'll work closely with scientists and engineers to develop and implement scalable algorithms and modeling techniques, particularly focusing on Reinforcement Learning and Optimization. You'll be responsible for bringing research concepts to production, implementing ML systems, handling product integrations, and optimizing performance while ensuring best practices in software development and cloud infrastructure.

The position offers an opportunity to drive innovation in Amazon's supply chain, working with cutting-edge ML technologies and solving complex business problems at scale. You'll be part of a team that embraces agile methodologies, focusing on test automation and continuous deployment. The role combines technical expertise in machine learning with practical engineering skills, making it ideal for someone passionate about both ML research and production implementation.

SCOT promotes an inclusive team culture, embracing diversity through innovative benefits and following Amazon's 16 Leadership Principles. The team values curiosity, diverse perspectives, trust, and inclusion. This is a chance to make a significant impact on Amazon's global supply chain operations while working with state-of-the-art ML technologies and talented professionals.