Research Intern - World-Action Foundation Model Robotics
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research world-action foundation models across vision, physics, and ego actions for robotic action and simulation-world generation. You will explore vision-physics association, Gaussian splatting, human data, language, spatial reasoning, deformable objects, and simulation, then collaborate on publications.
Requirements
- Strong research background in relevant topics
- Current PhD or MSc studies in machine learning, computer vision and graphics, or robotics
- 1+ year of research experience in autonomy, self-driving, or a related field
- Ability to work independently and collaboratively
Responsibilities
- Research world-action foundation models for robot action and simulation-world generation
- Study vision-physics modality association, Gaussian splatting, human data, language, and spatial reasoning
- Research deformable-object modeling and simulation
- Collaborate on research publications for top-tier conferences