Founding Robot Learning

What You'll Do

• Train manipulation policies: Build VLAs, diffusion policies, or end-to-end imitation models and run them on real robots.
• Validate the world model end-to-end: Train policies in simulation, deploy on real hardware, and find what doesn't transfer.
• Push policy capabilities forward: Build the infrastructure that lets policies train and improve on our platform.

Requirements

• Very strong coding in Python and PyTorch.
• Real-robot policy training: Track record training manipulation policies that ran on physical hardware.
• Demonstration data: Hands-on experience curating real-robot demonstration datasets.

Compensation Range

$150K - $275K