← All roles

Research Engineer/Scientist, Reinforcement Learning

Tau Robotics· Research
Apply on company site
Hybrid (San Francisco)full-timePosted 2mo ago

About the role

Research role focused on building and deploying model-based reinforcement learning for a general-purpose robotics AI platform, with ownership and equity opportunities.

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

Qualifications

  • 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

Required:Deep learningReinforcement learningPythonJAX or PyTorch
Nice to have:Imitation learning

Benefits

  • Significant ownership and meaningful equity
Last updated Oct 17, 2026. Interested? Apply on the company site.

About Tau Robotics

Tau Robotics: Humanoid Cleaning Service in San Francisco

San Francisco’s Favorite Humanoid Cleaning Service

House CleaningDeep CleaningOffice CleaningVacuumingTaking out the trashClearing the clutter
Company profileWebsite

More open roles at Tau Robotics