Postdoctoral Scientist, Robotics Research and AI Development

Postdoctoral Scientist, Amazon Robotics Research and AI Development

Job :  |  Services LLC

Amazon is looking for a talented Postdoctoral Scientist to join the Fleet Science team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will advance AI-driven optimization of operations workflows for robotic fulfillment  research areas include automated optimization formulation that enables non-expert users to formulate, solve, and interpret complex optimization problems through natural language;

intelligent solver configuration that adapts to problem structure for significant performance gains; and fleet-level AI for dynamic task allocation methods that coordinate decisions across large robot fleets in real time. The postdoc will have the opportunity to develop scalable solutions that democratize and accelerate optimization workflows for the world’s largest robotic fulfillment network.

• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting‑edge techniques in your area(s) of expertise.

On a typical day in this role, you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will lead your AI‑based optimization research through the full life cycle, from design and implementation to evaluation and analysis. Publication of findings in top‑tier academic venues is expected.

The Fleet Science team at Amazon Robotics is a multi‑disciplinary science team that includes scientists with backgrounds in planning and scheduling, optimization, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real‑world robotic warehouses, including: (1) planning and coordinating the paths of thousands of robots; (2) dynamic allocation and scheduling of tasks to thousands of robots;

(3) learning how to adapt system behavior to varying operating conditions; and (4) co‑design of robotic logistics processes and the algorithms to optimize them.

• PhD in a relevant field, received within 2 years of starting the program.
• Proven publication record in machine learning, robotics, computer vision, AI, computer science, economics, operations research, or other related technical fields.
• Experience in data science and quantitative research.
• Proficiency in technologies relevant to the subfield.

• Ability to independently deliver results in a fast‑paced environment.
• Publications at top‑tier, peer‑reviewed conferences and/or journals.
• Exceptional verbal and written communication skills.
• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies.
• Required application materials:
  • CV, which lists all peer‑reviewed publications.
  • Research statement that outlines your research achievements and future research interests.
  • A journal article or conference paper that demonstrates your domain expertise.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Salary: USA, MA, N. Reading – $ to $ USD annually. 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 .