PhD Science Internship in Operations Research, Machine Learning, and Statistics at Amazon Fulfillment Optimization Team Amazon in United States

The Fulfillment Optimization team at Amazon, part of the Supply Chain Optimization Tech (SCOT) organization, is offering a three-month science internship for PhD students in summer 2026. This opportunity is ideal for students passionate about Operations Research, Machine Learning, and Statistics, with a focus on solving challenging and large-scale problems in fulfillment and supply chain optimization. The team develops advanced systems using real-time optimization, reinforcement learning, AI, and causality methods to enhance customer experience and operational efficiency. Interns will collaborate with leading experts and contribute to projects involving network flow planning, resource allocation, and strategic modeling to improve Amazon's fulfillment network. The position is based in Bellevue-Seattle, United States, and offers a paid internship experience. Applicants should be current PhD students with relevant expertise and a strong interest in research and innovation. For more details and to apply, visit the provided Amazon job posting or contact Weihong HU via LinkedIn.