Developer Advocate Engineer

About the role

The role involves helping AI/ML developers understand the challenges and solutions when deploying models on Dexmate robots. Key responsibilities include building and publishing sample projects, writing technical tutorials, and creating SDK documentation.

Responsibilities

• Build and publish sample projects that demonstrate AI/ML model deployment on Dexmate.
• Write and publish technical tutorials weekly, covering topics like model training, fine-tuning, and deployment.
• Own the SDK documentation, ensuring it is current and accessible within 48 hours of any platform change.
• Answer developer questions in Discord and GitHub Discussions, responding to inquiries within 24 hours.
• Create reference integrations with AI model providers and publish architecture guides.
• Speak at AI/ML conferences and run live demos for developers and enterprise prospects.
• Surface model integration issues and suggest platform improvements to engineering.

Requirements

• Fluent in Python with real-world ML engineering experience, including model training, fine-tuning, inference optimization, and ML infrastructure.
• Experience shipping models in production environments.
• Curiosity about the physical world and interest in understanding how AI models interact with robotic systems.
• Ability to write clear, well-documented, and opinionated code that other engineers want to use.
• Experience creating technical content that has gained traction, such as GitHub repos, tutorials, and blog posts.
• At least 3 years of ML engineering experience, including model development, training infrastructure, inference, or MLOps.
• Able to maintain a consistent publication schedule, avoiding the failure mode of planning content without shipping it.

Qualifications

• Experience with vision-language-action models or embodied AI research.
• Hands-on experience with sim-to-real transfer work using tools like Isaac Sim, MuJoCo, Drake, or Genesis.
• Existing technical presence on platforms like a blog, GitHub, or YouTube, with real engagement.
• Open-source contributions to ML projects.

Skills

• Python programming skills.
• Experience with robotics and physical AI.
• Strong communication and presentation skills.

Benefits

No specific benefits are mentioned in the job posting.

Pay

No specific pay details are provided in the job posting.

Schedule

No specific schedule details are provided in the job posting.