Internship, Reinforcement Learning Engineer, Tesla Bot (Winter/Spring 2025)

Tesla is on a path to build humanoid bi-pedal robots at scale. As a member of the software team, you will design and implement reliable & efficient code for learned robotics, specifically applying to precise manipulation, full body locomotion, and more. You will be responsible for end-to-end robotic learning and own this stack from inception to deployment. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of humanoid robots in real world applications.

• Develop end-to-end robotic learning with either reinforcement or imitation learning

• Train machine learning and deep learning models on a computing cluster for grasping and locomotion tasks

• Learn to perform dexterous tasks using high degree of freedom hands

• Learn different robot policies to solve language-conditioned tasks from vision

• Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field with a gradation date between 2024 - 2025

• Experience in end-to-end robotic learning, with either imitation or reinforcement learning

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

• Strong software and computing fundamentals