Research Summer Intern – Intuitive Physics

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Job Overview

Job Description

Toyota Research Institute  Cambridge, MA

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in human-centric AI, energy and materials, machine learning, and robotics.

Through our research and innovations, we’ll…

  • Develop vehicles incapable of causing a crash, regardless of the actions of the driver.
  • Develop technology foer vehicles and robots to help people enjoy new levels of independence, access, and mobility.
  • Bring advanced mobility technology to market faster.
  • Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful.

As a subsidiary of Toyota, TRI has the financial backing of the world’s largest automaker to help us successfully achieve our mission. We are curious and hard-working leaders with unparalleled depth and expertise. Over half of our technical team carries PhD degrees.

Our work at TRI is guided by our values. A world of mobility for all starts with a workplace that is diverse and inclusive. TRI empowers employees to bring their best selves to work and do their best work. We provide a highly competitive benefits package to our team with robust programs to support the wellbeing, happiness, and health of our people and their families.

TRI hires passionate people who are interested in helping us build the future of mobility. We are looking for a Research Intern to join our Dexterous Manipulation team

The Dexterous Manipulation Team’s charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in unstructured environments such as homes. As part of this work, we are seeking a summer intern to help enable robots to perform a wide variety of traditionally hard-to-model tasks such as manipulating deformable objects.

The individual will contribute to one or more high-level research pushes, including:

  • Self-supervised task and state representation learning
  • Data-efficient algorithms for learning robust goal-conditioned policies
  • Task level planning using a pool of learned skills

The candidate will be expected to create working code prototypes, interact frequently with team members, transfer code, and participate in publishing the work.

The ideal candidate should be able to distill high-level project goals into an actionable work plan, possess good knowledge on machine learning and optimization, have demonstrated strong software development skills in Python/C++, and possess strong communication skills, both written and oral.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI provides Equal Employment Opportunity without regard to the applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.