Postdoctoral Scientist, Amazon Robotics Research and AI Development

Amazon; Massachusetts; On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a Postdoctoral Scientist to join the Fleet Science team for a full-time research position focusing on AI-driven optimization for robotic fulfillment.

This role involves developing scalable solutions, collaborating with other scientists, and publishing research findings. A PhD in a relevant field and experience in machine learning and data science are required. The position offers a salary range of $142,800 to $193,200 annually, alongside comprehensive benefits.

Qualifications

• Proven publication record in machine learning, robotics, computer vision, AI, computer science, economics, operations research.
• Experience in data science and quantitative research.
• Proficiency in technologies relevant to the subfield.

Responsibilities

• Work closely with a senior science advisor and collaborate with scientists and engineers.
• Publish innovations in top-tier academic venues.
• Lead AI-based optimization research from design to analysis.

Skills

Data science

Machine learning

Robotics

Computer vision

Education

PhD in a relevant field

Job description

Postdoctoral Scientist, Amazon Robotics Research and AI Development

Job ID: 10434356 | Amazon.com 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 at scale. The 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.

Key Job Responsibilities

• 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.

A Day in the Life

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.

About the Team

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.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.

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.

Salary: USA, MA, N. Reading – $142,800.00 to $193,200.00 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 https://amazon.jobs/en/benefits.