Dexmate
Developer Advocate Engineer
Santa Clara Office · Mid
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About the role
- Many developers have never deployed a model that moves something in the physical world.
- The gap between "it works in training" and "it works on a robot" is enormous.
- You'll be the person who helps AI/ML developers understand what happens when their models leave the data center and run on a humanoid robot: latency constraints, sensor noise, sim-to-real transfer, on-device inference, closed-loop control, etc.
Responsibilities
- Build and publish sample projects that show AI/ML engineers how to train, fine-tune, and deploy models on the Dexmate platform.
- Own the SDK documentation for AI/ML workflows: quickstart guides, API reference, Python SDK samples, kept current within 48 hours of any platform change.
- Build reference integrations with foundation AI model providers and publish architecture guides for running their models on Dexmate robots.
- Run live demos for developers, partners, and enterprise prospects.
Requirements
- You write Python fluently and have real ML engineering experience - model training, fine-tuning, inference optimization, or ML infrastructure.
- You can write a clear getting-started guide for a developer who just signed up and give a credible technical talk to a room of ML researchers.
- 3+ years of ML engineering experience - model development, training infrastructure, inference, or MLOps
- Experience deploying models on edge or embedded hardware
Compensation
- Speak at AI/ML conferences 3-4 times per year - NeurIPS, ICLR, ICML, CoRL, and similar.
Company info
- Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
This listing is sourced directly from Dexmate's careers page and normalized into a canonical job model.