Job Information
Amazon Postdoctoral Scientist , Amazon Robotics in North Reading, Massachusetts
Description
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. This Postdoctoral Scientist will innovate in the areas of multi-agent planning and reinforcement learning for robotic systems. They will have the opportunity to address challenges related to the control and optimization of the world’s largest fleet of mobile robots under uncertainty, including policy learning for resource management in robotic storage systems.
At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers.
Required application materials:
CV, which lists all peer-reviewed publications and conferences,
Research statement that outlines your research achievements and future research interests, and
A journal article or book chapter that demonstrates your domain expertise.
Key job 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.
• 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 follow your multi-agent planning and reinforcement learning projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through publications in top-tier academic venues.
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, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word 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, AI, Computer Science, 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.