Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,158,642)

Job Information

Amazon Postdoctoral Scientist, Amazon Robotics, RME Central in North Reading, Massachusetts

Description

Amazon is looking for talented Postdoctoral Scientists to join our Amazon Robotics team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of machine learning, reinforcement learning, and foundational models for robotic manipulation.

The Postdoc will research, propose, and develop a generalizable robotic pick and pack policy by leveraging the state-of-the-art diffusion polices, data-efficient reinforcement learning methods, and foundation models for robotic perception and manipulation. The Postdoc will evaluate the performance of such a policy on at least two hardware platforms, and iteratively improve the performance on a variety of hardware configurations.

Key job responsibilities

• Research vision - Where should we be focusing our efforts in this rapidly developing field

• Research delivery – Proving/dis-proving strategies and methodologies, innovating and iterating ML solutions for robotic manipulation

• Research results - Publish your innovation in top-tier academic venues and hone your presentation skills.

A day in the life

• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

• 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.

About the team

The Manipulation Research Team aims to answer ambiguous open questions in the domain of robotic manipulation. We focus on generalizable machine learning models and multi-modalities in robotic grasping in order to impact a broad range of robotic manipulation applications across Amazon Fulfillment Network (AFN).

Basic Qualifications

  • PhD in a relevant field, received within 2 years of starting the program

  • Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, or other related technical fields

*Experience in robotic manipulation science and 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, 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.

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.

DirectEmployers