Research Engineer/Scientist, Reinforcement Learning

Tau Robotics is building a general AI for robots that learns in the real world with minimal human supervision. The role involves developing cutting-edge reinforcement learning algorithms and applying them to real-world robotic systems at scale.

Responsibilities:

• Develop and implement novel offline reinforcement learning algorithms
• Perform training of deep neural networks on large GPU clusters
• Collaborate with researchers in imitation learning and world models