Postdoctoral Scientist, Amazon Robotics Research and AI Development

About the role

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. 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.

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 vibrant and diverse global science community. You will publish your innovation in top-tier academic venues and hone your presentation skills. A day in the life typically involves progressing your research projects, meeting with engineering, systems, and solutions stakeholders, brainstorming with other scientists on the team, and participating in team processes. You will lead your AI-based optimization research through the full life cycle, from design and implementation to evaluation and analysis.

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:

• 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

Basic qualifications include a PhD in a relevant field, received within 2 years of starting the program, a proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields, and experience in data science and quantitative research. Preferred qualifications include the ability to independently deliver results in a fast-paced environment, publications at top-tier, peer-reviewed conferences and/or journals, and exceptional verbal and written communication skills.

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.

Schedule

This is a full-time research position for one year with an optional extension for a second year.