Robot Learning Engineer

We're developing end-to-end learned models for general-purpose robot manipulation and control, and you'll help build and shape the foundational systems that put capable robots into the real world. This is a broad role that can be tailored to your area of expertise — policy learning, training infrastructure, or real-time inference. You'll work across the full robot learning pipeline: ingesting and processing multimodal data, training large-scale models, deploying policies to physical hardware, and closing the loop between research and real-world performance.

• Master's or PhD in Robotics, ML, CS, or related field, or equivalent practical experience
• Hands-on experience training and deploying ML models, ideally in PyTorch