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 new approaches to inventory planning, combining empirical research with robust theoretical foundations.

In this role, you'll work closely with scientists to implement novel ML systems, focusing on both engineering excellence and product impact. You'll develop scalable algorithms and modeling techniques at the intersection of Reinforcement Learning and Optimization. Key responsibilities include implementing ML systems, ensuring CI/CD compliance, and maintaining best practices in cloud infrastructure for scalability, security, and availability.

The position offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. You'll be part of SCOT's inclusive culture that embraces diversity through innovative benefits and Amazon's 16 Leadership Principles. The team values curiosity, diverse perspectives, and trust, making it an ideal environment for those passionate about applying ML to transform global supply chain operations.

Working with cutting-edge technologies and frameworks, you'll help design and evaluate innovative Reinforcement Learning models while creating scalable, efficient processes for large-scale data analyses and model development. The role combines technical expertise with practical business impact, offering opportunities to shape the future of Amazon's supply chain technology.