Research Intern - Reinforcement Learning, Self-Driving

The role

Research Interns will conduct research on reinforcement learning topics including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL. You will work with Research Scientists and Engineers on high quality research publications for submission to top-tier conferences.

What you will do

• Conduct research on reinforcement learning topics including large-scale self-play RL, VLA post-training, and large-scale closed-loop RL based on neural simulation
• Dive into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation and reward learning
• Work closely with Research Scientists and Engineers on high quality research publications for submission to top-tier conferences

Required qualifications

• Strong research background and skills on relevant topics
• Ability to work both independently and collaboratively on projects
• Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
• 1+ year of research experience in autonomy, self-driving, or related field
• Passion for next-generation, scalable autonomy and robotics

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.