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AI Resident - Learning From Videos (LFV)
Summary by AIEngineer.careers
AI Resident - Learning From Videos (LFV) is a AI Research Engineer role (full-time). with Learning From Videos. in REMOTE, WORLDWIDE. Imported listing (source: hirequorum.liveblog365.com). Apply on the employer's site (hirequorum.liveblog365.com).
Imported listing (source: hirequorum.liveblog365.com) · Apply on hirequorum.liveblog365.com
REMOTE · WORLDWIDE
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from hirequorum.liveblog365.com
Toyota Research Institute seeks an AI Resident to conduct research in embodied AI, focusing on multi-modal learning and spatio-temporal reasoning for real-world applications. The role involves developing algorithms for computer vision, robotics, and large-scale data ingestion, with opportunities to publish and open-source work.
Responsibilities
- Develop, integrate, and deploy algorithms for multi-modal and 4D reasoning targeting physical applications
- Handle 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
- Work closely with robotics and machine learning researchers and engineers
- Follow best practices for maintainable code and contribute to research publications
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field
- 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 collaborative mindset
LF
Learning From Videos
Palo Alto · US · 200+ employees
The Learning From Videos (LFV) team is a research group within the Toyota Research Institute (TRI). The team focuses on developing foundation models and algorithms for multi-modal, spatio-temporal reasoning, and embodied AI applications in robotics and autonomous systems.
