Developer Advocate Engineer

The role

You will help AI/ML developers understand how to run models on humanoid robots. You will build sample projects, write technical tutorials, and create content to promote the Dexmate platform.

What you will do

• Build and publish sample projects for training, fine-tuning, and deploying models on the Dexmate platform.
• Write and publish weekly technical tutorials, architecture explainers, and deployment walkthroughs.
• Own the SDK documentation for AI/ML workflows.
• Answer developer questions daily in Discord and GitHub Discussions.
• Build reference integrations with foundation AI model providers.
• Speak at AI/ML conferences 3–4 times per year.
• Run live demos for developers, partners, and enterprise prospects.
• Surface model integration friction and missing platform capabilities to engineering weekly.

Required qualifications

• Fluent Python writing.
• Real ML engineering experience in model training, fine-tuning, inference optimization, or ML infrastructure.
• Experience shipping models that ran in production.
• Published technical content that got traction.
• Write clean, documented code.
• Ability to write clear getting-started guides and give technical talks to ML researchers.
• 3+ years of ML engineering experience in model development, training infrastructure, inference, or MLOps.
• Ability to publish on a schedule.

Nice to have

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

About the company

Dexmate is building the foundation for physical AI by combining a new generation of robots with a universal Physical AI OS. Their mission is to democratize robotics by delivering a plug-and-play platform for developers, researchers, and enterprises.