Research Scientist, Reinforcement Learning

$136,000 - $212,800/Yr

Amazon - New York, NY

Full-time - Mid Level

New York, NY

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Research Scientist position in Reinforcement Learning at Amazon focuses on applying machine learning to real-world problems within the Supply Chain. The role involves conducting hands-on research in reinforcement learning, contributing to both theoretical advancements and practical applications that influence Amazon's global inventory planning systems. The ideal candidate will collaborate with experienced scientists and engage in innovative model design and evaluation, while also contributing to the scientific community through publications.

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.

Requirements

• PhD or Master's degree with 4+ years of quantitative field research experience.
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products.
• 2+ years of building machine learning models for business applications.
• Experience programming in Java, C++, Python, or related languages.
• Solid track record of research, demonstrated by publication in peer-reviewed conferences or journals, focusing on reinforcement learning, deep learning, and machine learning.
• Experience in algorithm development.
• Proficiency in Python or similar, including experience with machine learning frameworks.

Nice-to-haves

• Expertise in Reinforcement Learning or Machine Learning.
• Familiarity with the latest trends in Machine Learning.
• Track record of developing novel algorithms and advancing the state of the art.

Benefits

• Full range of medical benefits
• Financial benefits including equity and sign-on payments
• Comprehensive employee benefits package