Sr. Applied Scientist, SCOT RL

Machine Learning Scientist

Our team is at the forefront of machine learning research. Led by scientists including Dean Foster, the team is dedicated to developing innovative RL algorithms and applying them to complex, real-world challenges in Amazon's global inventory and supply chain network. Our focus is not just on advancing theoretical knowledge but also on implementing these insights to optimize operations and enhance customer satisfaction. We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged. The supply chain spans a wide range of operations, managing decisions that impact billions of dollars worth of inventory. For scientists passionate about impactful research in machine learning and AI, our team offers a dynamic and fulfilling environment to make a tangible difference in the field and Amazon's operations.

Key Job Responsibilities

• Design, implement, and evaluate innovative models, agents, and software prototypes.
• Collaborate with a team of experienced scientists to drive technological advancements.
• Develop innovative solutions to complex business problems in collaboration with partner teams.
• Contribute to Amazon's global science community through collaboration and publication of ground-breaking research.
• Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.

A Day in the Life

As a part of our team, you will be working alongside thought leaders like Dean Foster, contributing to academic research and complex, real-world applications. Your work will directly influence Amazon's global inventory planning systems, shaping decisions that affect billions of dollars worth of inventory and a wide array of product lines. You will tackle complex inventory planning challenges using Reinforcement Learning, contributing both to the theoretical aspect of the field and its practical applications. We value innovative thinking and the ability to approach problems from new perspectives.