Human-Centered AI Intern, CAD Design Reasoning Machine Learning
Toyota Research InstituteLos Altos, California
Internship
Posted February 18, 2026
$45 - $65/hr
Apply Now
Application opens on company website
Job Description
A research internship focused on developing generative AI models for 3D CAD design and reasoning in the automotive industry, involving interdisciplinary collaboration and exposure to industrial research processes.
Key Responsibilities
- Develop generative models for 3D parametric B-rep editing and design reasoning.
- Participate in team meetings and stakeholder discussions related to automotive product design and AI research.
- Engage in interdisciplinary industrial research and learn from team members and interns.
- Connect research efforts to business impact at Toyota.
Requirements
- Candidates must be pursuing or have completed a PhD in a field related to CAD Generation, Machine Learning, or a related discipline.
- The candidate must have a strong background in CAD Generation and Machine Learning or related fields.
- Demonstrated interest in design and generative AI is required.
- The intern must be highly motivated and talented, with the ability to develop generative models for 3D parametric B-rep editing and design reasoning.
- The internship requires participation in all Human-Centered AI division meetings, Future Product Innovation group meetings, and meetings with stakeholders from relevant Toyota business groups.
- The internship is a paid position for a duration of 12 weeks, starting in Fall 2027.
- The role is a hybrid in-office position, requiring the intern to work both remotely and on-site as needed.
- The pay range for California-based roles is expected to be between $45 and $65 per hour, with base pay depending on experience, skills, job-related knowledge, and market location.
Benefits & Perks
Paid 12-week internship
Hybrid in-office role
Generous benefits package including medical, dental, and vision insurance
Paid time off benefits including holiday pay and sick time
Exposure to interdisciplinary industrial research and collaboration with stakeholders
Learning opportunities from a diverse and inclusive team
Ready to Apply?
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