Applied Scientist, One MHS - Software, Controls, Science

As an Applied Scientist, you will collaborate closely with other scientists and engineers to bring optimization and sequential decision-making research to production. This role combines the scientific Basic qualifications: - 2+ years of building machine learning models or developing algorithms for business application experience - PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field - Experience in optimization mathematics such as linear programming and nonlinear optimization - Knowledge of and proficiency in the use of Python scripting language - Experience Experienced with end-to-end ownership of major project deliverables - Experience with popular deep learning frameworks and RL tooling (e.g., PyTorch, d3rlpy, Ray/RLlib, Gymnasium, Stable-Baselines3, Isaac Gym/Omniverse) - Demonstrated experience developing and applying optimization or reinforcement learning solutions (e.g., MILP, constraint programming, stochastic programming, contextual bandits, deep RL) to real-world control, scheduling, or operation problems Preferred: - First-author publications at top-tier machine learning, operations research, or control venues (e.g., NeurIPS, ICML, ICLR, AAAI, AISTATS, CPAIOR, INFORMS Journal on Computing, or IEEE control and automation conferences) - Experience building a discrete-event simulator to train and evaluate operational policies, and calibrating it against historical data - Experience applying optimization or RL in a setting analogous to ours: production scheduling, real-time industrial control, robotics, material handling, industrial process or operations. - Experience deploying optimization or ML models to production at scale and partnering with engineering teams on inference, monitoring, 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, North Reading - 142,800.00 - 193,200.00 USD annually