Technology 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

Onsite in Sunnyvale, CA - some travel to SFO for meetups/conferences, etc.

MUST BE LOCATED WITHIN COMMUTABLE DISTANCE.

W2 only. NO C2C/1099 or C2C referrals. PLEASE.

Developer advocate for Machine Learning!

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.

This Developer Advocate is pivotal in championing an internal 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.
• Technical Support: 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.
• 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.
• Required Experience Strong technical background with deep experience in Machine Learning (ML) and MLOps practices. Familiarity with the entire ML development lifecycle (data, training, serving, monitoring).
• Proven analytical and problem-solving skills, with the ability to engage with the developer community and internal teams to gather and analyze feedback.
• 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.
• Basic understanding of and experience working in Linux based environments, including MLOps systems, Kubernetes, and machine learning architectures.
• Preferred Experience 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.

Education

Bachelor's degree in computer science, Engineering, or a related field or equivalent experience.

The estimated pay range for this position is USD $60.00/Hr. - USD $67.00/Hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.