Postdoctoral Scientist, Amazon Robotics
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Job Location:
North Reading, MA - USA
Yearly Salary:
$ 136000 - 223400
Posted on:
30 days ago
Vacancies:
1 Vacancy
Job Summary
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 worlds 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 Amazons 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.
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
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 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 Amazons 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.
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
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 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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