Dexmate

Dexmate

Developer Advocate Engineer

Santa Clara Office

Sponsorship not specifiedDetected 122 days ago
PythonGitMachine LearningMLOpsRobotics5G/LTEResearch

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

Nice to have

  • Hands-on sim-to-real transfer work
  • Isaac Sim, MuJoCo, Drake, or Genesis familiarity
  • Existing technical blog, GitHub, or YouTube with real traction
  • Open-source ML contributions
  • 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.

Benefits

  • Experience with vision-language-action models or embodied AI research

This listing is sourced directly from Dexmate's careers page and normalized into a canonical job model.