Research Engineer/Scientist, Reinforcement Learning Research · San Francisco · Full-time →

Our mission is to build a general-purpose AI for robots. We believe the path is to deploy robots early in real customer environments, learn from large-scale real-world experience, and steadily increase autonomy and performance beyond human levels. Join a focused team building this system end to end, with significant ownership and meaningful equity. What you’ll doCreate and deploy model-based reinforcement learning algorithms Partner with researchers specializing in imitation learning and world models What we look forStrong background in deep learning and reinforcement or imitation learning Proven ability to implement and debug reinforcement learning algorithms Proficiency with Python and deep learning frameworks like JAX or PyTorch Publications at premier venues (NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA), or equivalent public evidence