Robot Learning Engineer

This is a hands-on physical robotics role. You take existing robot policies, make them run on our robots and data, and measure honestly what works. Your first goal is a reproducible baseline on real hardware, followed by one measured data or model experiment that tells us something we did not know.

Location: San Francisco, USA OR Toulouse, France. In-office and hands-on with physical robots; this is not a remote role.

Location terms: San Francisco-specific compensation and visa sponsorship arrangements are to be confirmed. The listed EUR range does not establish US employment terms.

• Reproduce accessible existing policies and get them running on our robots.
• Adapt observation and action spaces to our embodiments and sensor setups.
• Build versioned datasets with clean train, validation and held-out splits.
• Run controlled, held-out trials on physical robots, with protocols others can repeat.