Research Engineer/Scientist, Reinforcement Learning
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About this role
Research Engineer/Scientist, Reinforcement Learning. Tau Robotics builds general-purpose AI for humanoid robots deployed in real customer homes, learning from large-scale real-world robot experience to improve autonomy and performance.. Research · San Francisco · Full-time. Responsibilities: Create and deploy model-based reinforcement learning algorithms; Train deep neural networks on large GPU clusters; Partner with researchers specializing in imitation learning and world models. Requirements: Strong 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
Skills & Technologies
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Job Details
- Company
- Tau Robotics
- Location
- San Francisco / CA / USA
- Posted
- October 05, 2026
- Source freshness
- Seen on employer source 22h ago
About Tau Robotics
San Francisco robotics company building general-purpose AI for humanoid robots deployed in real homes, spanning robot learning, world models, reinforcement learning, simulation, robot data infrastructure, software and integrated hardware.
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