Staff Reinforcement Learning Research Engineer

Build the scalable reinforcement learning framework that powers the next generation of humanoid and quadruped robots. Make the pipeline fast, reliable, and reproducible. Work alongside world-class engineers and scientists pushing the boundaries of whole-body control and dexterous manipulation.

Requirements

• Implement on-policy and off-policy learning algorithms
• Scale GPU-accelerated simulation to generate millions of samples per second
• Crack sim-to-real to produce policies that transfer to the physical robot
• Integrate RL with VLAs to fine-tune and distill large multimodal policies
• Make deployment easy, fast, and reproducible
• Build visualization tools that enable data-driven research

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Paid time off
• Annual bonus structure