Applied Scientist, Scot RL

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.

PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience

• Experience programming in Java, C++, Python or related language

• Experience in building machine learning models for business application

• 1+ years of practical machine learning experience

• 1+ years of hands-on predictive modeling and large data analysis experience

Preferred Qualifications

• Experience in professional software development

• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

• Experience in patents or publications at top-tier peer-reviewed conferences or journals

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you!, The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, NY, New York - 172,400.00 - 223,400.00 USD annually