ML Dev Advocate & Open-Source Evangelist

Milestone Technologies, Inc.; Sunnyvale (CA); On-site; USD 83,000 - 92,000; Full time

Job summary

Uber seeks a Developer Advocate for Machine Learning to be onsite in Sunnyvale, CA with occasional travel to San Francisco for meetups and conferences. You will bridge Uber's engineering teams with the MA OSS platform, promoting best practices and gathering feedback to guide ML tooling and workflows.

You will create technical content, grow an external developer community, provide guidance on MLOps across the ML lifecycle, and help drive adoption of MA OSS while aligning with business objectives.

Qualifications

• Strong ML and MLOps background
• Experience communicating with technical audiences
• Experience building technical communities and managing programs
• Proven ability to create engaging content for developers

Responsibilities

• Content Creation: develop docs, tutorials, blog posts, and presentations on MLOps
• Community Engagement: build external developer community, organize workshops and hackathons
• Technical Support: provide guidance to MA OSS users and contributors
• Operational Efficiency: align advocacy program with business objectives
• Feedback Loop: collect and analyze community feedback to prioritize features
• Strategic Planning: plan biannually and adapt to trends
• Advocacy: represent developer needs internally and drive productivity improvements
• Linux-based environment familiarity including MLOps systems and Kubernetes

Skills

Machine Learning

MLOps

Community building

Content creation

Communication

Problem solving

Linux

Education

Bachelor's degree in Computer Science or Engineering

Tools

Kubernetes

Job description

Uber seeks a Developer Advocate for Machine Learning to be onsite in Sunnyvale, CA with occasional travel to San Francisco for meetups and conferences. You will bridge Uber's engineering teams with the MA OSS platform, promoting best practices and gathering feedback to guide ML tooling and workflows.

You will create technical content, grow an external developer community, provide guidance on MLOps across the ML lifecycle, and help drive adoption of MA OSS while aligning with business objectives.