Physical AI Developer Advocate & ML Engineer

Roboticsconnected; Fremont (CA); On-site; USD 140,000 - 230,000; Full time

Job summary

Dexmate is building the foundation for physical AI by pairing a new generation of robots with a universal Physical AI OS. Our mission is to democratize robotics and accelerate practical AI deployment on real robots.

You will craft sample projects and tutorials that help ML engineers ship models on Dexmate robots, document SDK usage, and engage with the community through talks and live demos. This is an engineering‑driven role focused on building and teaching through hands-on work.

Qualifications

• You write Python fluently and have real ML engineering experience — model training, fine-tune, inference optimization, or ML infrastructure. You’ve shipped models that ran in production.
• Curious about the physical world. You don't need a robotics background, but you find the question "what happens when this model controls a robot arm" genuinely interesting.

Responsibilities

• Build and publish sample projects showing how to train, fine-tune, and deploy models on the Dexmate platform.
• Write and publish technical tutorials weekly — step-by-step guides and deployment walkthroughs for ML engineers new to physical AI.
• Own the SDK documentation for AI/ML workflows: quickstart guides, API reference, Python SDK samples, updated within 48 hours of platform changes.
• Answer developer questions daily in Discord and GitHub Discussions — respond within 24 hours.
• Build reference integrations with foundation AI model providers and publish architecture guides for running their models on Dexmate robots.
• Speak at AI/ML conferences 3–4 times per year — NeurIPS, ICLR, ICML, CoRL, etc.
• Run live demos for developers, partners, and enterprise prospects.
• Surface model integration friction and missing platform capabilities to engineering weekly.

Skills

Python

ML engineering

Model deployment

Inference optimization

Job description

Dexmate is building the foundation for physical AI by pairing a new generation of robots with a universal Physical AI OS. Our mission is to democratize robotics and accelerate practical AI deployment on real robots.

You will craft sample projects and tutorials that help ML engineers ship models on Dexmate robots, document SDK usage, and engage with the community through talks and live demos. This is an engineering‑driven role focused on building and teaching through hands-on work.