Research Scientist - 3D Vision and Generation Self-Driving
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 3D vision, generation, world-action foundation models, multimodal pretraining, and feed-forward Gaussian splatting for autonomous driving. You will publish research, collaborate with scientists and interns, and work with engineering teams to test and deploy algorithms in autonomy and simulation products.
Requirements
- Strong research record in 3D vision, reconstruction, and generation for autonomous systems and robotics
- Publications in top-tier computer vision, machine learning, or robotics conferences or journals
- MSc or PhD in machine learning, computer vision, or a closely related field
- 1+ year of research experience in autonomy, self-driving, or a related field
- Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training experience
Responsibilities
- Conduct research on 3D vision and generation for autonomous driving
- Develop world-action foundation models, multimodal pretraining, and feed-forward Gaussian splatting methods
- Publish research for top-tier conferences
- Collaborate with engineers to test and deploy algorithms in autonomy and simulation products
Benefits
- Equity in the form of 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