January 11, 2026
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Human Interactive Driving Intern - Human-Machine Interaction Research 🎓

Toyota Research Institute,

Hybrid
Mountain View, CA
$45/hr - $65/hr

Duration

 12-week internship for Summer 2026
The Position 

Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI. 
Responsibilities

  • Conduct user studies to evaluate the effectiveness and responses to different interventions to improve driving safety and performance.
  • Create novel interventions that can be used to help people drive better and safer.
  • Partner with a multidisciplinary team including other research scientists and engineers across Toyota Research Institute.
  • Present results in verbal and written communications, both internally and at top international venues.

Requirements

  • Currently pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Human Factors Engineering, or related fields.
  • Experience designing and running experiments with human subjects.
  • Past cross-functional collaboration with other researchers and engineers to invent and develop interesting research ideas.
  • You are passionate about developing and applying human-centered artificial intelligence for social good.
  • You are a reliable team player. You like to think big and go deeper. You care about openness and delivering with integrity.
  • Experience with machine learning is a plus.
  • Experience with devices to measure physiological signals is a plus (e.g., EDA, heart rate).Experience with eye-tracking devices is a plus.

Company

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. 
 

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