Founding Robot Learning

What you'll do

• Build manipulation policies, including VLAs, diffusion policies, or end-to-end imitation models, and run them on real robots.
• Train policies in simulation, deploy them on real hardware, and identify sim-to-real transfer failures.
• Build platform infrastructure that helps policies train and improve.

What they ask for

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

Pay

$150K – $275K (base salary)

Tools

Python, PyTorch

AI focus

Train manipulation policies, including VLAs, diffusion policies, imitation learning, and reinforcement learning; advance world models, policy evaluation, and sim-to-real validation.