Research Intern - Robotics, Learning From Videos (LFV)
Toyota Research InstituteLos Altos, California
Internship
Posted September 19, 2025
$45 - $65/hr
Apply Now
Application opens on company website
Job Description
A Research Intern at Toyota Research Institute will work with a multidisciplinary team to conduct pioneering research at the intersection of Computer Vision and Robotics, focusing on developing foundational models to enable robots to understand and adapt to unstructured real-world environments through data-driven approaches.
Key Responsibilities
- Propose, conduct, and transfer research on the intersection of Computer Vision and Robotics.
- Use large datasets from multiple sources and modalities to develop models.
- Train large-scale foundation models to address open scientific problems.
- Test research ideas in simulators and real-world environments.
- Contribute to publications at top academic venues related to Video Generation, World Modeling, 4D Reconstruction, Multi-Modal Foundation Models, Multi-View Geometry, Data Augmentation, and Large Vision Models.
Requirements
- Candidates must be available for a summer 2026 paid 12-week internship opportunity.
- The internship role will be hybrid in-office, requiring physical presence at the office.
- Candidates should have the ability to work with a multidisciplinary team proposing, conducting, and transferring pioneering research on the intersection between Computer Vision and Robotics.
- Candidates must have experience working with large amounts of data from different sources and modalities.
- Candidates should have the ability to train large-scale foundation models aimed at solving open problems.
- Candidates should have the capability to work towards publications at top academic venues.
- Candidates must have the ability to test ideas in simulators as well as in the real world.
- Candidates should have knowledge or experience in areas such as Video Generation, World Modeling, 4D Reconstruction, Multi-Modal Foundation Models, Multi-View Geometry, Data Augmentation, and Large Vision Models, with a primary focus on embodied applications.
- Candidates must be able to contribute to making progress on scientific challenges around the deployment of robots in real-world unstructured environments by leveraging data from different sources and modalities, and learning transferable priors grounded in the physical properties of the world.
- Candidates should have a strong understanding of how to develop foundational models capable of understanding how the world works, predicting possible future states, and adapting to new environments and circumstances.
- Candidates must be able to submit a CV that includes a full list of publications and a link to Google Scholar.
- Candidates should have a minimum educational background or experience relevant to robotics, computer vision, or related fields (implied, as the role involves research in these areas).
- Candidates must be able to demonstrate knowledge or experience in developing or working with large foundation models and multi-modal data.
- Candidates should be able to work in an environment that fosters diversity and inclusion, adhering to equal employment opportunity policies.
Benefits & Perks
Paid 12-week summer internship
Compensation range of $45 to $65 per hour (California-based roles)
Medical insurance
Dental insurance
Vision insurance
Paid time off including holiday pay and sick time
Hybrid in-office work environment
Ready to Apply?
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