Research Scientist - 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 using vision, physics, ego actions, language, and spatial reasoning. You will investigate 3D generation and reconstruction, publish research, and work with engineers to test and deploy algorithms for autonomy and simulation products.
Requirements
- Strong research record in 3D vision, reconstruction, and generation for robotics or autonomous systems
- Publications in top-tier computer vision, machine learning, or robotics conferences or journals
- MSc or PhD in machine learning, computer vision, robotics, autonomy, or a closely related field
- 1+ year of research experience in autonomy, self-driving, robotics, or a related field
- Python, PyTorch, computer vision, robotics systems, and distributed machine-learning training experience
Responsibilities
- Conduct research on world-action foundation-model pretraining
- Investigate vision-physics association, Gaussian splatting, language, spatial reasoning, and deformable-object modeling
- Collaborate on publications for top-tier conferences
- Test and deploy algorithms with research engineers and engineering teams
Benefits
- Equity options and/or restricted stock units
- Health, dental, vision, life, and disability insurance
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off