AI Advocate, Open-Source, Research

Snorkel AI

Be Snorkel's primary technical voice in open-source and research communities. Collaborate with teams to create technical content and drive AI evaluation discussions.

Posted 5/6/2026full-timeRedwood City • California • 🇺🇸 United StatesMid-LevelSenior💰 $155,000 - $240,000 per yearWebsite

About the role

Key responsibilities & impact

Own Snorkel's external technical voice
Write methodology posts, technical deep-dives, and research-grade content
Lead Snorkel's open-source presence: define GTM approach, ship code, review PRs, recruit contributors
Advance conversation on AI evaluation and benchmarking: publish original work on AI evaluation methodologies
Drive conference and research community presence: land talks, papers, workshops, build relationships
Partner with research team: translate research collaborations into shareable methodology, case studies, tooling
Set the bar for technical credibility: design evals and benchmarks, prototype RL environments, write code

Requirements

What you’ll need

6+ years in applied ML research, AI engineering, developer/research advocacy, or research-intensive technical role with public output
Deep technical fluency in modern AI: post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, RL environment design, training data pipelines, synthetic data generation, and at least one applied domain (coding agents, reasoning, multimodal)
Hands-on experience with AI evaluation and benchmarks: public benchmarks (MMLU, GPQA, SWE-bench, etc.), domain-specific custom evals, and LLM-as-judge pipelines
Build with AI, not just about AI: using frontier coding agents in day-to-day workflow and building non-trivial agentic systems
A real public body of work: talks, papers, blog posts, podcasts, OSS contributions
Comfortable in a room with frontier-lab research leads or a F500 ML team; can read the room and hold technical credibility
Self-directed and comfortable with ambiguity

Benefits

Comp & perks

Meaningful opportunities to shape priorities and initiatives
Influence key strategic decisions
Directly impact ongoing success
Fully supported in building career

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

applied ML researchAI engineeringdeveloper advocacyevaluation methodologiesRL environment designtraining data pipelinessynthetic data generationpublic benchmarksLLM-as-judge pipelinescoding agents

Soft Skills

self-directedcomfortable with ambiguitytechnical credibilitycommunicationrelationship building