Future Product Innovation Research Intern, Human-Computer Interaction

Los Altos, CA - USA

Hourly Salary: $ 45 - 65

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a world-class team in Automated Driving Energy & Materials Human-Centered AI Human Interactive Driving Large Behavioral Models and Robotics.

This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.

The Team

This internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers behavior scientists and human-computer interaction experts. At the core of our work we aim to support people to make better decisions by leveraging the best of big data technology and insights about why we do what we do.

The Future Product Innovation team is an interdisciplinary team of researchers working at the intersection of generative artificial intelligence (AI) design engineering and creativity. We leverage advances in cognitive modeling physiological sensing HCI and machine learning to support human decision making. Our mission is to accelerate design and engineering processes in the automotive industry.

The Internship

We are seeking a highly motivated and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in Human-Computer Interaction Artificial Intelligence or a related field with demonstrated interest in exploring novel interaction techniques at the intersection of design generative AI and human-AI this project the intern will develop new steerableAI systems that enable multi-agent conversation and decision-making support designed to produce actionable engineering and design insights for physical product development.

We will match the intern with mentors based on their experience. Over the course of the project in addition to Future Product Innovation group meetings the intern will also participate in all Human-Centered AI division meetings. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore the intern will engage in strategy discussions about how their research connects to business impact at Toyota.

Qualifications

Currently enrolled in a PhD program in Human-Computer Interaction Artificial Intelligence or a related field.
Demonstrated interest in exploring novel techniques at the intersection of Design Generative AI and Human-AI interaction.
Experience prototyping interactive generative AI systems that leverage open-source LLMsExperience designing and conducting user studies analyzing data and presenting research findings.
Track record of executing research projects including publications at top HCI conferences such as CHI UIST etc.
Desire to work on challenging open-ended research projects.
Demonstrated ability to work autonomously while soliciting feedback.
Excellent communication and teamwork skills.

Bonus Qualifications

Experience with modern front-end development frameworks (e.g. React).
Experience with modern LLM frameworks (e.g. LangChain RAG).
Prior experience developing multi-agent conversational systems AI collaboration tools or debate-based interfaces.
Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors including but not limited to business or organizational needs market location job-related knowledge skills and experience. TRI offers a generous benefits package including medical dental and vision insurance and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

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TRI is fueled by a diverse and inclusive community of people with unique backgrounds education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all without regard to an applicants race color creed gender gender identity or expression sexual orientation national origin age physical or mental disability medical condition religion marital status genetic information veteran status or any other status protected under federal state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Intern

This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.

The Team

The Internship

Qualifications

Currently enrolled in a PhD program in Human-Computer Interaction Artificial Intelligence or a related field.
Demonstrated interest in exploring novel techniques at the intersection of Design Generative AI and Human-AI interaction.
Experience prototyping interactive generative AI systems that leverage open-source LLMsExperience designing and conducting user studies analyzing data and presenting research findings.
Track record of executing research projects including publications at top HCI conferences such as CHI UIST etc.
Desire to work on challenging open-ended research projects.
Demonstrated ability to work autonomously while soliciting feedback.
Excellent communication and teamwork skills.

Bonus Qualifications

Experience with modern front-end development frameworks (e.g. React).
Experience with modern LLM frameworks (e.g. LangChain RAG).
Prior experience developing multi-agent conversational systems AI collaboration tools or debate-based interfaces.
Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques.