Toyota Research Institute (TRI) is looking to improve the quality of human life by developing new tools and capabilities to amplify the human experience, specifically in the area of automated driving, energy & materials, human-centered AI, human interactive driving, large behavior models, and robotics. The Generalizable 3D Representations (G3R) team aims to develop generalizable, data-driven 3D representations that bridge computer vision, graphics, and robotics, enabling robots to understand, reconstruct, and interact with the world across diverse environments and sensor modalities.
Requirements
- Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).
- Publication record or strong interest in publishing at high-impact venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, RSS, ICRA, IROS, SIGGRAPH, RA-L).
- Passion for large-scale challenges in 3D/4D perception, multimodal foundation models, and physical-world-grounded AI.
- Ability to collaborate with researchers and engineers to invent and implement novel research ideas.
Responsibilities
- Conduct daring research in 3D perception, reconstruction, and representation learning, solving open problems of high theoretical and practical value.
- Push the boundaries of knowledge in 3D Foundation Models for robotic applications.
- Collaborate with research scientists and engineers across the G3R team, the Robotics division, TRI, Toyota, and our university partners.
- Stay up to date with state-of-the-art machine learning, 3D vision, and robotics research.
- Present your work at internal meetings, top-tier conferences, and through contributions to the broader research community.
- Propose, conduct, and transfer pioneering research at the intersection of Computer Vision, Graphics, and Robotics.
- Work with large-scale 2D, 3D, and multimodal datasets, design and train new representation learning methods, and validate ideas in both simulation and physical robotic systems.
Other
- Currently pursuing a Ph.D. in Machine Learning, Computer Vision, Graphics, Robotics, or related fields.
- A reliable teammate who loves to think big, dive deep, and deliver with integrity.
- Summer 2026 paid 12-week internship opportunity.
- Hybrid in-office role.
- Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
