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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!
Responsibilities
In collaboration with your mentor and the other researchers in the department, you will:
- Scope the project to align to the core research efforts;
- Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors;
- Execute the project using TRI resources; and
- Present the project’s approach and findings in research meetings.
Qualifications
- Currently enrolled in a PhD program in Machine Learning, Computer Science, Mechanical Engineering, or related fields.
- Experience with 3D parametric design, deep generative models, and relevant tools (e.g., build123d, Blender, pythonocc-core).
- Experience developing subjective evaluation methods for generative and predictive models.
- Track record of executing research projects including publications at top venues including but not limited to NeurIPS, EMNLP, ACL, ICML.
- Desire to work on challenging open-ended research projects.
- Demonstrated ability to work autonomously while soliciting feedback.
- Excellent communication and teamwork skills.
Preferred Qualifications
- Experience adapting models to specific tasks through post-training techniques.
- Strong engineering skills, with the ability to independently prototype research solutions.
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