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  3. AI Resident - Learning From Videos (LFV)
Toyota Research Institute logo

AI Resident - Learning From Videos (LFV)

Toyota Research Institute
Los Altos, Canada
Full Time
Posted March 17, 2026
$45 - $45/hr
Power Generation
This role may have expired~95 people viewed this recently
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Application opens on company website

Job Description

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life.

Key Responsibilities

  • Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications.
  • Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning.
  • Contribute innovative solutions at the intersection of machine learning, computer vision, and robotics to improve real-world task performance.
  • Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
  • Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community.
  • Contribute to research publications and technical reports.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
  • Exceptional candidates with equivalent research experience (e.g., strong publication record, open-source contributions, or industry research experience) are encouraged to apply.
  • Strong background in computer vision and its applications to robotics and embodied systems.
  • Demonstrated research experience through publications, technical projects, or open-source contributions.
  • Strong communication skills and a collaborative mindset, with the ability to learn quickly and contribute to team research efforts.
  • Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation.
  • Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc.
  • Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
  • Application of machine learning and computer vision to embodied applications.

Ready to Apply?

Join Toyota Research Institute and make an impact in renewable energy

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