Research Scientist, Computer Vision (Learning From Videos)
Toyota Research InstituteLos Altos, California
Full Time
Posted December 4, 2025
$176k - $264k
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Job Description
A Research Scientist in Computer Vision at Toyota Research Institute focusing on developing foundation models and advanced perception techniques to enhance dynamic scene understanding and autonomous robot capabilities in unstructured environments.
Key Responsibilities
- Conduct innovative research in computer vision, focusing on Video Generation, Spatio-temporal Representation Learning, World Models, and Multi-Modal Learning.
- Utilize large-scale sensory data, both real and synthetic, to develop and train models addressing open scientific problems.
- Test and validate models in real-world robotic environments to improve dynamic scene understanding and autonomous capabilities.
- Collaborate with cross-functional teams to transfer and implement successful algorithms and models for long-term autonomy and assistance systems.
Requirements
- Expertise in Video Generation, Spatio-temporal Representation Learning, World Models, Foundation Models, Multi-Modal Learning, Vision-as-Inverse-Graphics including Differentiable Rendering, or related fields, to improve dynamic scene understanding for robots.
- Experience working with large amounts of sensory data, both real and synthetic, to address open problems and train models at scale.
- Proven ability to propose, conduct, and transfer innovative research in the field of computer vision and related areas.
- Strong publication record in top academic venues demonstrating research contributions.
- Ability to test research ideas in real-world settings, including on robotic platforms.
- Experience working closely with multidisciplinary teams to transfer and ship algorithms and models towards long-term autonomy and advanced assistance systems.
- Educational background in a relevant field such as Computer Science, Electrical Engineering, Robotics, or related disciplines (implied by research scientist role, though specific degree requirements are not explicitly stated).
- Demonstrated experience in developing foundation models capable of leveraging multi-modal data from multiple domains such as driving, robotics, indoors, outdoors, etc.
- Knowledge of 3D geometry, physics, dynamics, and world understanding as it relates to machine learning and robotics applications.
Benefits & Perks
Salary range between $176,000 and $264,000 per year
Medical insurance
Dental insurance
Vision insurance
401(k) eligibility
Paid time off including vacation, sick leave, and parental leave
Annual cash bonus
Ready to Apply?
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