Research Intern - Reinforcement Learning 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 reinforcement learning for autonomous driving, including large-scale self-play, VLA post-training, neural simulation, reward learning, and imitative behavior learning. You will collaborate with research scientists and engineers to produce publications for top-tier conferences.
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
- Conduct reinforcement learning research for autonomous driving
- Research self-play, VLA post-training, neural simulation, reward learning, and imitative behavior learning
- Collaborate on research publications for top-tier conferences