Key job responsibilities
Set the technical vision and research agenda; identify the right problems and sequence bets across near-term production needs and long-horizon research
Build, hire, and develop a team of applied scientists; provide scientific mentorship and grow careers
Drive algorithms from research through production deployment in partnership with engineering
Represent the team externally through publications, academic collaborations, and community engagement
A day in the life
Your internal stakeholders are engineering teams who productionize your algorithms, operations leaders whose buildings depend on fleet performance, and peer scientists building learned models of fleet dynamics. You spend your time shaping research direction, unblocking technical challenges, reviewing experimental results, and partnering across disciplines to get science into production.
About the team
You would join a multi-disciplinary science organization with deep expertise in planning, optimization, machine learning, and robotics — working at the frontier of multi-robot coordination where scale, diversity, and dynamism intersect. Our algorithms ship to real robots within months of conception, and we learn from the operational data they generate. We maintain active academic collaborations and contribute to the research community through publications, workshops, and open problems.
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
5+ years of industry or academic research experience
2+ years of scientists or machine learning engineers management experience
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application
Strong understanding of autonomous mobile robots and how they navigate
Experience deploying robotic systems into the field
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Experience with mobile robot fleets in industrial or logistics settings
Experience developing computationally efficient decision making algorithms for live production systems
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, N.Reading - 183,800.00 - 248,700.00 USD annually
