The Reinforcement Learning (RL) team within Amazon's Supply Chain is at the cutting edge of applying machine learning to real-world problems. We are seeking a talented Senior Applied Scientist with RL experience to join our team. Here you will be focused on making significant contributions to the field, through hands-on research in RL. If you are driven by innovation, we want to hear from you.

In this role you'll have the opportunity to make meaningful advancements in machine learning and AI, contributing to both theoretical and applied aspects of ML and RL.

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 novel solutions to complex business problems in collaboration with partner teams.
- Contribute to Amazon's global science community through collaboration and publication of groundbreaking 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 part of our team, you will work alongside thought leaders like Sham Kakade and 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 RL, contributing both to the theoretical aspect of the field and its practical applications. We value creative thinking and the ability to approach problems from new perspectives.

About the team
Our team is at the forefront of machine learning research; we are dedicated to developing novel RL algorithms and applying them to complex, real-world challenges in Amazon's global inventory and supply chain network. Our focus is on both advancing theoretical knowledge and 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.