Research Intern - Reinforcement Learning, Self-Driving

Summary

Applied Intuition is a Silicon Valley company specializing in powering the future of physical AI, focusing on the digital infrastructure for autonomous systems. They are seeking multiple Research Interns to conduct research on reinforcement learning related topics, contributing to cutting-edge technology in autonomous driving and robotics.

Responsibilities

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

Skills

• Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
• Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
• Passion for next-generation, scalable autonomy and robotics

Qualifications

Must Haves

• Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
• Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
• Passion for next-generation, scalable autonomy and robotics

Benefits

• We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.