Role: Developer Advocate (MLOps, ML)
SFO, CA
6months
Job Description:
The role of developer advocate is versatile, focusing on driving impactful changes to bridge the gap between Uber's engineering community and its broad set of infrastructure tools. A developer advocate collaborates closely with all levels of the engineering staff to promote best practices, collect feedback, and adjust strategies to align with both technological advancements and business objectives. Candidates should exhibit strong technical expertise, excellent communication skills and problem-solving within a technical environment and a proactive approach to community building.
The Developer Advocate is pivotal in championing the Michelangelo Open Source (MA OSS) initiative, aiming for external adoption and establishing MA as the industry standard for ML platforms. This role involves bridging the gap between the external ML community and MA OSS, focusing on MLOps best practices across the entire Machine Learning development lifecycle.
Key Responsibilities
Content Creation: Develop high-quality technical content (documentation, tutorials, blog posts, and presentations) focused on MLOps workflows, MLOps tools, and the MA OSS platform to educate and engage the global open-source ML community.
Community Engagement: Build and nurture a vibrant external developer and contributor community for the MA OSS project. This includes organizing workshops, hackathons, and educational programs to drive external adoption and community contributions.
Operational Efficiency: Enhance the operational aspects of the developer advocacy program to align with Uber's high-level business objectives
Feedback Loop Management: Engage with the developer community and internal teams to collect and analyze feedback. Use this data to prioritize feature requests and bug fixes.
Strategic Planning: Align developer advocacy initiatives with the priorities of the business and engineering teams.
Plan and execute on a biannual schedule while adapting to emerging trends and organizational needs.
Advocacy and Influence: Represent the needs of the developer community internally, championing their causes and driving changes that enhance their experience and productivity.
Provide technical support and troubleshooting guidance to external MA OSS community users and contributors, focusing on MLOps workflows and platform adoption across the entire service development lifecycle.
Develop and share high-quality technical content such as documentation, blogs, tutorials and presentations crucial for educating Uber's engineering community about best practices, new tools and technologies.
Continuously engage with the developer community, various internal teams and stakeholders to collect, organize and analyze feedback to help prioritize feature requests, bug fixes and ensure product roadmaps meet Uber's business goals and provide a top tier engineering experience.
Skills and Qualifications
Strong technical background with deep experience in Machine Learning (ML) and MLOps practices. Familiarity with the entire ML development lifecycle (data, training, serving, monitoring).
Excellent communication and interpersonal skills, capable of building strong relationships.
Proven ability to create engaging content tailored for a technical audience.
Experience in community building and management in a technical environment.
Strong analytical and problem-solving skills, with a proven ability to manage complex projects in a dynamic environment.
Educational Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience.
Preferred Qualifications
Experience in building and managing technical communities and a capability of fostering a vibrant developer community by organizing workshops, feedback sessions, providing support and other collaboration and knowledge sharing opportunities.
Experience contributing to or ownership of an open source technology, preferably relevant to developer productivity.
A portfolio of content showcasing writing abilities on both a technical and promotional level.
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