Research Intern - World-Action Foundation Model, Robotics
Applied Intuition · Sunnyvale
Roboticsonsiteintern$135k
At a glance
Highlights
- Pretrain world-action foundation models for robot action and simulation.
- Model vision-physics with Gaussian splatting and spatial reasoning.
- Deploy research to self-driving cars, humanoids and dexterous hands.
Ideal candidate
PhD or MSc researcher passionate about scalable autonomy and robotics who thrives collaborating and independently pushing foundation models from idea to real-world deployment.
Requirements
- Strong research background with ability to work independently and collaboratively
- Current PhD or MSc studies in machine learning, computer vision and graphics, robotics
- 1+ year of research experience in autonomy, self-driving, or related field
- Passion for next-generation, scalable autonomy and robotics
- remote policy
- In-office 5 days a week with occasional flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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