Research Intern - World-action Foundation Model, Robotics

Applied Intuition

Sunnyvale, California, United States
On-site (5 days a week, with some flexibility for remote work)
Strong research background in machine learning
Experience with computer vision and graphics
Knowledge of robotics and autonomy systems
Applied Intuition is hiring Research Interns to contribute to their Research Group focused on advancing physical AI technologies, particularly in autonomous driving and robotics. The ideal candidates are currently pursuing a PhD or MSc in relevant fields and possess a strong research background

Job Summary

  • The mission of the Research Group is to create cutting-edge technology enabling next-generation physical AI with a focus on end-to-end autonomous driving and robotic generalists.
  • Researchers will conduct studies on pretraining world-action foundation models using various modalities including vision, physics, and language to serve robot action and simulation generation.
  • Candidates will collaborate with leading experts to produce high-quality research publications for submission to top-tier conferences like CVPR and ICRA.

Matching Summary

Match Score: 85

Applied Intuition is hiring Research Interns to contribute to their Research Group focused on advancing physical AI technologies, particularly in autonomous driving and robotics. The ideal candidates are currently pursuing a PhD or MSc in relevant fields and possess a strong research background.

Skills & Requirements

Must-have

  • Strong research background in machine learning
  • Experience with computer vision and graphics
  • Knowledge of robotics and autonomy systems
  • Ability to work independently and collaboratively

Nice-to-have

  • Passion for next-generation scalable autonomy
  • Interest in human data incorporation
  • Familiarity with feed-forward Gaussian splatting
  • Experience with spatial reasoning and deformable objects

Key Requirements

  • Current PhD or MSc studies in machine learning, computer vision, graphics, or robotics
  • Strong academic background in relevant technical fields
  • Demonstrated ability to contribute to industry-leading research

Work Rights

Not specified

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