Research Intern - Reinforcement Learning, Self-driving

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · AI Research

Research Intern role focused on Reinforcement Learning for self-driving and robotics applications, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role emphasizes research publications and collaboration with scientists and engineers.

What you'd actually do

  1. 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
  2. Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning
  3. Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences

Skills

Required

  • 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

Nice to have

  • Passion for next-generation, scalable autonomy and robotics

What the JD emphasized

  • high quality research publications

Other signals

  • reinforcement learning
  • self-driving
  • robotics
  • research publications