Research Intern - Reinforcement Learning, Robotics
Applied IntuitionVisit Applied Intuition website
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
Sunnyvale, United States
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 large-scale closed-loop reinforcement learning and VLA post-training for robotics, with an emphasis on dexterous manipulation. You will investigate fundamental reinforcement-learning topics and collaborate on publications for top-tier conferences.
Requirements
- Strong research background in relevant topics
- Current PhD or MSc studies in machine learning, computer vision, graphics, or robotics
- At least 1 year of research experience in autonomy, self-driving, or a related field
Responsibilities
- Conduct reinforcement-learning research for robotics
- Research large-scale closed-loop reinforcement learning and VLA post-training
- Investigate fundamental reinforcement-learning topics
- Work with Research Scientists and Engineers on publications for top-tier conferences