Postdoctoral Scientist, Amazon Robotics Research and AI Development

About the role

Amazon is looking for talented Postdoctoral Scientists to join the Research and AI Development team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will innovate in the areas of multi-agent path planning, dynamic optimal transport (OT), and explainable AI (X-AI) for DeepFleet Foundation Models.

Responsibilities

In this role, you will work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s diverse global science community. You will publish your innovation in top-tier academic venues and hone your presentation skills. A day in the life will involve progressing your research projects, meeting with engineering, systems, and solutions stakeholders, brainstorming with other scientists on the team, and participating in team processes.

• Work to progress your research projects
• Meet with engineering, systems, and solutions stakeholders
• Brainstorm with other scientists on the team
• Participate in team processes

About The Team

The Research and AI Development 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-word robotic warehouses, including:

• Planning and coordinating the paths of thousands of robots
• Dynamic allocation and scheduling of tasks to thousands of robots
• Learning how to adapt system behavior to varying operating conditions
• Co-design of robotic logistics processes and the algorithms to optimize them

Qualifications

The basic qualifications for this role are:

• PhD in a relevant field, received within 2 years of starting the program
• Proven publication record in Machine Learning, Robotics, AI, Computer Science, Operations Research, or other related technical fields
• Experience in data science and quantitative research
• Proficiency in technologies relevant to the subfield

The preferred qualifications for this role are:

• 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

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. The base salary range for this position is $142,800.00 - $193,200.00 USD annually. 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.

Pay

The base salary range for this position is $142,800.00 - $193,200.00 USD annually.