Postdoctoral Scientist, Amazon Robotics, R&D

Amazon; North Reading (MA); On-site; USD 136,000 - 222,200; Full time

Benefits offered by this job

Equity Options

Comprehensive Medical Benefits

Flexible Work Environment

Professional Development Opportunities

Job summary

An innovative firm is seeking talented Postdoctoral Scientists to join their dynamic R&D team. This full-time, one-year position focuses on exploring advanced grasp policies for robotics. Candidates will leverage cutting-edge techniques in machine learning and reinforcement learning to develop and prototype algorithms for robotic perception and manipulation. The role offers opportunities to publish research in prestigious academic venues and collaborate with a diverse team of experts. If you are passionate about robotics and eager to contribute to groundbreaking technology, this position is a perfect fit for you.

Qualifications

• PhD in a relevant field received within 2 years of starting the program.
• Proven publication record in Manipulation and Grasp Learning.

Responsibilities

• Collaborate with scientists and engineers in a vibrant global community.
• Publish innovations in top-tier academic venues.

Skills

Data Science

Quantitative Research

Robotics

Machine Learning

Computer Vision

Reinforcement Learning

Verbal Communication

Written Communication

Education

PhD in relevant field

Tools

Visuomotor Policies

Deep Learning Techniques

Job description

Postdoctoral Scientist, Amazon Robotics, R&D

Job ID: 2677397 | 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

1. 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.
2. Publish your innovation in top-tier academic venues and hone your presentation skills.
3. Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

BASIC QUALIFICATIONS

1. PhD in a relevant field, received within 2 years of starting the program
2. Proven publication record in Manipulation and Grasp Learning
3. Publications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning, or other related technical fields
4. Experience in data science and quantitative research
5. Proficiency in technologies relevant to the subfield

PREFERRED QUALIFICATIONS

1. Ability to independently deliver results in a fast-paced environment
2. Publications at top-tier, peer-reviewed conferences and/or journals
3. Exceptional verbal and written communication skills
4. Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Required application materials:

1. CV, which lists all peer-reviewed publications and conferences,
2. Research statement that outlines your research achievements and future research interests, and
3. 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.