Robotics Intern, Human-Machine Interaction Research
Quick Summary
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.
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!
Our team works to understand how people interact with intelligent systems and develops human-machine interfaces that enable individuals to work seamlessly with AI, particularly in physically interactive settings. We aim to create technologies that enhance human capability and allow humans and AI to operate in harmony across a wide range of real-world contexts.
In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and task performance of people using human-centered artificial intelligence.
As a summer research intern, you will develop and evaluate interactions with quadruped robots. Responsibilities include prototyping integrated systems, collecting and analyzing human participant data, building models of interaction logic, conducting user studies to evaluate system effectiveness in the tasks, developing robot policies that adapt to people, and deploying and evaluating these approaches on robot hardware.
Location & Eligibility
About this job
- Pay per year
- ≈ $93,600–$135,200 a year
- 68% above the $68,006 median for Other jobs on Jobera (130,114 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 29, 2026
- First seen
- October 29, 2026
- Last seen
- October 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 73%
- Scored at
- October 29, 2026
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