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 in human-centered AI, energy and materials, machine learning, and robotics.

This is a Summer 2024 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.

The Mission

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 Team

Within Human-Centered AI, the Future Product Innovation team is working on projects with the following objectives: (1)understand, monitor, and amplify creative work with generative AI, and (2) streamline the design ideation process to engineering validation. We use advances in HCI, physiological sensing, cognitive modeling, and machine learning to support human decision-making.

The Internship

We are looking for an intern with expertise in one of the following areas:

- Generative AI models

- Conceptual design

- Creativity

- Vision and language

- Human-computer interaction

- Physiological sensing

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

Responsibilities

Scope the project to align with the core research efforts
Be the primary driver of the technical plan (e.g., study design, model development, analysis plan) with regular feedback from mentors
Implement the project using TRI resources and present the project’s approach and findings in research meetings
Our goal is that you end the summer with work that is publishable in an academic journal or conference

Qualifications

Enrolled in a PhD program
Track record of completing research projects, including publications at top conferences
Desire to work on challenging open-ended research projects
Proven ability to work autonomously while soliciting feedback

Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

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 applicant’s 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.

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