Ai Resident - Learning From Videos (lfv)

Toyota Research Institute (TRI)

Los Altos, CA, United States
Not specified; not specified; not specified
On-site
Research-focused position in embodied ai
Experience with multi-modal learning
Knowledge of 4d world models
The role is a one-year research-focused residency designed for early-career researchers to work on ambitious problems in embodied AI

Job Summary

  • The role is a one-year research-focused residency designed for early-career researchers to work on ambitious problems in embodied AI.
  • Residents will collaborate closely with TRI researchers to develop methods for spatio-temporal reasoning and zero-shot generalization.
  • The team focuses on leveraging large-scale multi-modal data from driving and robotics domains to improve downstream task performance.

Matching Summary

Match Score: 85

The role is a one-year research-focused residency designed for early-career researchers to work on ambitious problems in embodied AI.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Research-focused position in embodied AI
  • Experience with multi-modal learning
  • Knowledge of 4D world models
  • Understanding of physical intelligence
  • Spatio-temporal reasoning capabilities

Nice-to-have

  • Collaborative team environment
  • Ambitious problem-solving mindset
  • Interest in zero-shot generalization
  • Publication record in robotics
  • Productization experience

Key Requirements

  • Early-career researcher or engineer status
  • Background in AI, robotics, or related fields
  • Commitment to high-risk research projects

Work Rights

Not specified

Tailored Resume

Cover Letter