Internship, Reinforcement Learning Engineer, Optimus (summer 2026)

Tesla Tesla · Auto · Palo Alto, CA · Tesla AI

Internship role focused on developing and implementing end-to-end robotic learning for humanoid robots (Optimus), applying reinforcement or imitation learning to tasks like manipulation and locomotion. Involves training ML/DL models and seeing work deployed on robots.

What you'd actually do

  1. Develop end-to-end robotic learning with either reinforcement or imitation learning
  2. Train machine learning and deep learning models on a computing cluster for grasping and locomotion tasks
  3. Learn to perform dexterous tasks using high degree of freedom hands
  4. Learn different robot policies to solve language-conditioned tasks from vision

Skills

Required

  • Advanced degree in Computer Science, Robotics, Machine Learning, or related field (graduating 2025-2026)
  • Experience in end-to-end robotic learning (imitation or reinforcement learning)
  • Strong software and computing fundamentals

Nice to have

  • Exposure to robot learning through tactile and/or vision-based sensors

What the JD emphasized

  • end-to-end robotic learning
  • reinforcement learning
  • imitation learning
  • humanoid robots

Other signals

  • end-to-end robotic learning
  • reinforcement learning
  • imitation learning
  • train machine learning models
  • humanoid robots