Applied Scientist - Reinforcement learning, OMHS SCS

As an Applied Scientist on the Science SW team, you will collaborate closely with other scientists and engineers to bring Reinforcement Learning (RL) research to production. This role combines the scientific Basic qualifications: - PhD in computer science, machine learning, engineering, or related fields - 2+ years of building machine learning models or developing algorithms for business application experience - Demonstrated experience developing and applying reinforcement learning and sequential decision-making methods (e.g., deep RL, policy gradient / actor-critic methods, offline RL, contextual bandits, or multi-agent RL) to real-world control or optimization problems. - Fluency in a high-level programming language such as Python; experience with C++ is a plus. - Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow) and RL tooling or simulators (e.g., Ray/RLlib, Gymnasium, Stable-Baselines3, Isaac Gym/Omniverse, MuJoCo). - Ownership of end-to-end solutions in terms of research, prototyping, and experimentation. Preferred: - First-author publications at top-tier machine learning and AI venues (e.g.,NeurIPS, ICML, ICLR, AAAI, AISTATS, CoRL, or RLC/RLDM). - Experience applying RL in a setting analogous to ours: real-time control, robotics or material handling, industrial process or operations. - Experience deploying RL or ML models to production at scale and partnering with engineering teams on real-time inference and feedback loops. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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, MA, Boston - 142,800.00 - 193,200.00 USD annually USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually