Machine Learning Engineer, Supply Chain Optimization Technologies

Amazon's Supply Chain Optimization Technologies (SCOT) team is seeking a Machine Learning Engineer to drive innovation in applying ML to solve real-world supply chain problems. This role sits at the intersection of machine learning, reinforcement learning, and supply chain optimization, working on systems that manage Amazon's global inventory planning worth billions of dollars.

The position offers a unique opportunity to work with cutting-edge technology in a team that's pioneering the application of reinforcement learning techniques for inventory planning and supply chain optimization. You'll collaborate closely with scientists and engineers to develop and implement novel, scalable algorithms that advance the state-of-the-art in machine learning applications.

As a Machine Learning Engineer, you'll be responsible for bringing research into production, combining engineering expertise with technical strength and product focus. The role involves implementing ML systems, handling product integrations, and optimizing performance while ensuring best practices in software development and cloud infrastructure.

The team embraces an inclusive culture and agile methodologies, focusing on test automation and continuous deployment. You'll be part of Amazon's larger technical organization, benefiting from the company's extensive resources and commitment to innovation. The compensation package is competitive, including a base salary range of $129,300 to $223,600, plus equity and comprehensive benefits.

This is an excellent opportunity for someone passionate about machine learning who wants to make a significant impact on real-world systems at scale. You'll be working on problems that directly affect Amazon's business efficiency and customer satisfaction, while having the chance to grow professionally in a supportive and innovative environment.