Founding Robot Learning Engineer – Real-World Factory AI

Humanola; Mountain View (CA); Vor Ort; USD 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

Founding role with ownership

Direct line to the CEO

Real-world data from day one

Zusammenfassung

Humanola is pushing the boundaries of general-purpose physical AI by deploying robots in real factories and learning from real-world corrections. You will lead the robot stack, fine-tune cutting-edge models, and translate on-site interventions into smarter policies.

You should have strong Python/PyTorch skills, hands-on ROS 2 experience, and a track record with robotics research. This is a founding-role opportunity with direct impact and ownership, in a real-world robotics team.

Qualifikationen

• MS or PhD in robotics, ML or CS, with publications at CoRL, RSS, ICRA, NeurIPS or similar venues.
• A strong engineer in Python and PyTorch, at home with real hardware and ROS 2.
• Hands-on experience fine-tuning VLAs, diffusion policies or world models.
• Bonus: experience at a top robotics or AI lab, training foundation models for manipulation, or working on teleop.

Aufgaben

• Own our robot stack on YAM, UR and Flexiv arms: control, perception, teleop and the handoff between the policy and the human operator.
• Fine-tune robot foundation models (π-series, GR00T, OpenVLA) on our proprietary real-world data.
• Turn interventions from deployments into better policies.
• Build evaluations that hold up in real factories.

Kenntnisse

Python

PyTorch

ROS 2

Hands-on hardware

Ausbildung

MS or PhD in robotics, ML or CS

Tools

VLAs

diffusion policies

world models

Jobbeschreibung

Humanola is pushing the boundaries of general-purpose physical AI by deploying robots in real factories and learning from real-world corrections. You will lead the robot stack, fine-tune cutting-edge models, and translate on-site interventions into smarter policies.

You should have strong Python/PyTorch skills, hands-on ROS 2 experience, and a track record with robotics research. This is a founding-role opportunity with direct impact and ownership, in a real-world robotics team.