Founding Robotics ML Engineer (Real-World Impact)

Auxo Talent; Mountain View (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Direct line to CEO

Ownership in product

Job summary

Auxo Talent is partnering with a seed-funded Physical AI startup in Mountain View to hire their second engineer for a founding role. You’ll report directly to the CEO and CTO, owning the robot stack across multiple arms and collaborating with leadership to bring innovative capabilities to life.

You will fine-tune models on real-world data, convert live interventions into better policies, and build robust evaluations for factory deployments.

Qualifications

• Experience fine-tuning models (VLAs, diffusion policies, or world models).
• Strong Python and PyTorch skills; comfortable with ROS 2 and real hardware.
• Experience deploying robots in real-world settings is essential.
• MS or PhD with publications at CoRL, RSS, ICRA, NeurIPS or similar is a strong plus.

Responsibilities

• Own the robot stack across control, perception, teleop, and hands-off between policy and human operator.
• Fine-tune robot foundation models on real-world data collected from deployments.
• Turn interventions from live deployments into improved policies.
• Build evals that perform reliably in real factories, not only in the lab.

Skills

Fine-tuning VLAs

Python

PyTorch

ROS 2

Real hardware

Robotics deployment

Education

MS or PhD with publications

Tools

PyTorch

ROS 2

Job description

Auxo Talent is partnering with a seed-funded Physical AI startup in Mountain View to hire their second engineer for a founding role. You’ll report directly to the CEO and CTO, owning the robot stack across multiple arms and collaborating with leadership to bring innovative capabilities to life.

You will fine-tune models on real-world data, convert live interventions into better policies, and build robust evaluations for factory deployments.