Postdoctoral Scientist, Amazon Robotics, R&D
Apply NowCompany: Amazon
Location: North Reading, MA 01864
Description:
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. FLITE's charter is to enable Amazon Robotics Manipulation Organization to innovate on advanced technology development.
The research work for this position will explore generalization of imitation learning based policies on novel hardware platforms. This will include exploring alternative representations and foundation models. The candidate will prototype algorithms in simulation and then deploy promising solutions to real and novel hardware.
Key job responsibilities
\tWork closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community.
\tPublish your innovation in top-tier academic venues and hone your presentation skills.
\tBe inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
We are open to hiring candidates to work out of one of the following locations:
Cambridge, MA, USA | North Reading, MA, USA
BASIC QUALIFICATIONS
\tPhD in a relevant field, received within 2 years of starting the program
Proven publication record in Manipulation and Gasp Learning
\tPublications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning or other related technical fields
\tExperience in data science and quantitative research
\tProficiency in technologies relevant to the subfield
PREFERRED QUALIFICATIONS
\tAbility to independently deliver results in a fast-paced environment
\tPublications at top-tier, peer-reviewed conferences and/or journals
\tExceptional verbal and written communication skills
\tExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Required application materials:
\tCV, which lists all peer-reviewed publications and conferences,
\tResearch statement that outlines your research achievements and future research interests, and
\tA journal article or book chapter that demonstrates your domain expertise.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
The research work for this position will explore generalization of imitation learning based policies on novel hardware platforms. This will include exploring alternative representations and foundation models. The candidate will prototype algorithms in simulation and then deploy promising solutions to real and novel hardware.
Key job responsibilities
\tWork closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community.
\tPublish your innovation in top-tier academic venues and hone your presentation skills.
\tBe inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
We are open to hiring candidates to work out of one of the following locations:
Cambridge, MA, USA | North Reading, MA, USA
BASIC QUALIFICATIONS
\tPhD in a relevant field, received within 2 years of starting the program
Proven publication record in Manipulation and Gasp Learning
\tPublications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning or other related technical fields
\tExperience in data science and quantitative research
\tProficiency in technologies relevant to the subfield
PREFERRED QUALIFICATIONS
\tAbility to independently deliver results in a fast-paced environment
\tPublications at top-tier, peer-reviewed conferences and/or journals
\tExceptional verbal and written communication skills
\tExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Required application materials:
\tCV, which lists all peer-reviewed publications and conferences,
\tResearch statement that outlines your research achievements and future research interests, and
\tA journal article or book chapter that demonstrates your domain expertise.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.