Research Intern - World-action Foundation Model, Robotics

Applied Intuition

Sunnyvale, United States
On-site
World-action foundation model research
Vision-physics modality association
Robotic action and simulation world generation
Applied Intuition is seeking multiple Research Interns for their Research Group to contribute to cutting-edge technology in physical AI, particularly focusing on robotics and autonomous driving. The ideal candidates are current PhD or MSc students with a strong research background in machine learning, computer vision, and robotics

Job Summary

  • Conduct research on pretraining world-action foundation models with various world modalities including vision and physics associated with ego actions.
  • Dive into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, and human data incorporation.
  • Work closely with Research Scientists and Engineers on high quality research publications for submission to top-tier conferences.

Matching Summary

Match Score: 85

Applied Intuition is seeking multiple Research Interns for their Research Group to contribute to cutting-edge technology in physical AI, particularly focusing on robotics and autonomous driving. The ideal candidates are current PhD or MSc students with a strong research background in machine learning, computer vision, and robotics.

Skills & Requirements

Must-have

  • World-action foundation model research
  • Vision-physics modality association
  • Robotic action and simulation world generation
  • High quality research publications

Nice-to-have

  • Customer-focused culture
  • Fast-paced environment
  • Scalable autonomy and robotics

Key Requirements

  • Current PhD or MSc studies
  • Machine learning, computer vision, graphics, robotics background
  • Independent and collaborative research skills

Work Rights

Not specified

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