A research internship focused on developing 3D shape generation techniques using generative AI and machine learning for automotive CAD design, supporting innovative design and engineering processes at Toyota Research Institute.
Key Responsibilities
Develop 3D shape generation techniques for CAD applications, such as point cloud to CAD and image to CAD.
Collaborate with mentors and participate in team and division meetings to align research with business goals.
Engage in strategy discussions on how research impacts automotive product design and business impact at Toyota.
Requirements
Currently pursuing or have completed a PhD in a relevant field such as Computer Science, Engineering, or related disciplines.
Strong background in CAD Generation and Machine Learning or related fields.
Demonstrated interest in design and generative AI.
Experience in developing 3D shape generation techniques with applications to CAD, such as point cloud to CAD and image to CAD.
Ability to participate in interdisciplinary industrial research and collaborate with a team of researchers, behavior scientists, and human-computer interaction experts.
Availability to work a 13-week summer internship in Summer 2026, with a hybrid in-office role.
Willingness to participate in all relevant team meetings, including Future Product Innovation group meetings, Human-Centered AI division meetings, and meetings with stakeholders from Toyota business groups.
Ability to engage in strategy discussions about how research connects to business impact at Toyota.
Excellent communication skills to learn from team members and present research findings.
Ability to include a link to Google Scholar and a full list of publications when submitting CV for consideration.
Benefits & Perks
Paid 13-week summer internship
Hybrid in-office role
Generous benefits package including vacation and sick time
Exposure to interdisciplinary industrial research and team meetings
Opportunity to participate in strategy discussions connecting research to business impact
Ready to Apply?
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