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Toyota Research Institute

Robot type
Robot AI and Software
Location
Los AltosCaliforniaUSA
Job type
Business Operations
Posted
Oct 29, 2026
Internship

Human Interactive Driving Research Intern, Learning-Based Control for Safe Autonomous Driving

Job description

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 advancing the state of the art in AI, robotics, driving, and material sciences.

This is a paid 12-week internship opportunity and is a hybrid, in-office role.

Here’s a glimpse into the Internship experience from some of our TRI interns!

Job responsibilities

  • Work with researchers to develop and then undertake a well-scoped research project in a relevant area.
  • Extend existing controls/AI/ML algorithms or design new algorithms for control at a vehicle’s performance limit.
  • Explore approaches to formalize guarantees of safety for machine learning algorithms.
  • Implement algorithms on a full scale vehicle research platform.
  • Publish your original research at a high impact conference.

Job requirements

  • Ph.D. or M.S. student in relevant fields - ML/AI, robotics, computer science, mechanical engineering, aerospace engineering, or similar.
  • Proficient in scientific Python, Unix, and robotic frameworks (e.g. ROS2.0).
  • Knowledge of machine learning, nonlinear system control, and optimal control. Vehicle dynamics knowledge is a plus.
  • Experience working on joint scientific and engineering projects.
  • Familiarity with or interest in racing or high-performance driving is a plus.
Apply on Toyota Research Institute websiteSave

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