Robotics Intern
Human-Robot Interaction, Hri
Posted on 11/2/2023
Toyota Research Institute

201-500 employees

R&D arm of Toyota
Company Overview
Toyota Research Institute's mission is to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. They're dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life.
AI & Machine Learning
Automotive & Transportation
Robotics & Automation

Company Stage


Total Funding





Los Altos, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Cambridge, MA, USA
Experience Level
Desired Skills
AI & Machine Learning
Mechanical Engineering
Software Engineering
  • Pursuing MS or PhD degree in Human-Robot Interaction, Human-Computer Interaction, Human Factors, Robotics, Computer Science, or a related field or equivalent practical experience.
  • 2+ years experience as an academic Human-Robot Interaction researcher.
  • Experience with at least one of the following: behavior cloning, reinforcement learning, imitation learning, and related.
  • Strong software engineering skills (C++ / Python preferred) and experience analyzing/debugging autonomous robotic systems.
  • Experience with deploying and/or field-servicing prototype technologies.
  • Experience with writing peer-reviewed conference papers or journal articles as lead author.
  • Desire to contribute back to the robotics community with publications and open source code.
  • Familiarity with robotic simulators including Drake, Mujoco, Bullet, etc. and/or original ROS or ROS2.
  • Passion for seeing robotics help humans and have a real-world, large-scale impact.
  • Designing physical human-robot interactions.
  • Creating interaction specifications, user flows, and wireframes.
  • Implementing controllers and/or planners that facilitate HRI.
  • Developing and running experiments on real hardware.
  • Producing maintainable code and documentation.
  • Presenting study findings to colleagues and the larger TRI organization.
Desired Qualifications
  • Experience in tactile sensing, modeling soft-contact, or soft robotics.
  • Expertise/Experience in machine learning around user behavioral modeling.
  • Knowledge of optimization and sampling based planners for physical, reactive planning and control.
  • System integration experience around complex, open-ended, and multi-functional projects.
  • Experience with qualitative and quantitative user research.