- Robot type
- Robot AI and Software
- Location
- Los AltosCaliforniaUSA
- Job type
- Business Operations
- Posted
- Oct 29, 2026
Robotics Intern, Human-Machine Interaction Research
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!
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.
Job responsibilities
- Design and develop prototypes that enable embodied AI agents to support people collaborating on physical tasks.
- Leverage multimodal AI to understand human activities, task progress, and collaborative interactions.
- Develop and evaluate interaction strategies that enable embodied AI agents to adapt their assistance to different contexts and collaborative situations.
- Integrate AI models and interaction logic with robotic hardware to enable real-time human-robot interaction.
- Design and conduct user studies to investigate how AI assistance influences human collaboration, task performance, and user experience.
- Collect and analyze quantitative and qualitative data to evaluate system effectiveness and identify opportunities for improvement.
- Collaborate with a multidisciplinary team of research scientists and engineers across Toyota Research Institute.
- Communicate research findings through presentations and written reports, including potential submissions to leading international research venues.
Job requirements
- Currently pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Robotics, Machine Learning, Cognitive Science, or a related field.
- Experience developing and prototyping interactive or embodied AI systems, such as interactive robots, multimodal assistants, or conversational agents.
- Familiarity with human-robot interaction (HRI), human-AI interaction, or human behavior modeling.
- Experience with experimental design, user studies, and quantitative or qualitative data analysis.
- Ability to work independently, iterate quickly, and communicate research findings clearly.
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