About this opportunity
Amazon lists this Postdoctoral Scientist, Amazon Robotics, R&D opportunity in north reading, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Postdoctoral Scientist, Amazon Robotics, R&D
Job ID: | Amazon.com Services LLC
Amazon is looking for talented Postdoctoral Scientists to join our Forward Looking Initiatives & Technology Enablers (FLITE) Team for a one-year, full-time research position. The Forward Looking Initiatives & Technology Enablers (FLITE) Team's charter is to enable Amazon Robotics Manipulation Organization to innovate on advanced technology development.
The research work for this position will explore the generalization of grasp policies in simulation and on novel hardware platforms.
The Postdoc will research, propose, and develop policies by leveraging state-of-the-art visuomotor policies, data-efficient reinforcement learning methods, and foundation models for robotic perception and manipulation. The candidate will prototype algorithms in simulation and then deploy promising solutions to real and novel hardware. They will provide direction on where we should focus our efforts in this rapidly developing field and innovate and iterate on deep learning solutions for robotic manipulation.
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.
BASIC QUALIFICATIONS
PhD in a relevant field, received within 2 years of starting the program
Proven publication record in Manipulation and Grasp Learning
Publications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning, 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 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.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $136,000.00/year in our lowest geographic market up to $222,200.00/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 Amazon Benefits .
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 Accommodations for more information.
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Worksite address
north reading, MA, 01864, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.