AI Advocate (Open-Source & Research)

TL;DR

AI Advocate (AI Engineering): Serving as the primary technical voice in open-source and research communities to translate Snorkel's data-centric AI methodology into technical content and tools with an accent on AI evaluation, benchmarking, and post-training. Focus on designing agentic AI benchmarks, prototyping RL environments, and driving presence at major AI conferences like NeurIPS and ICML.

Location: Hybrid in Redwood City, CA or San Francisco, CA

Salary: $155,000 - $240,000 USD

Company

Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale using a data-centric approach.

What you will do

• Own the external technical voice by writing methodology posts, technical deep-dives, and research-grade content on data development.
• Lead the open-source presence by shipping code, reviewing PRs, and building OSS libraries that demonstrate Snorkel's methodology.
• Advance AI evaluation and benchmarking by publishing original work on measuring agentic AI systems and LLM-as-judge calibration.
• Drive presence at top-tier conferences (NeurIPS, ICML, ICLR, AI Engineer World's Fair) through talks, papers, and workshops.
• Partner with research teams to translate internal collaborations into shareable tools, case studies, and methodology.
• Design and prototype RL environments and benchmarks to establish technical credibility.

Requirements

• 6+ years of experience in applied ML research, AI engineering, or research-intensive technical roles with significant public output.
• Deep technical fluency in post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, and RL environment design.
• Hands-on experience building real evals and public benchmarks (e.g., MMLU, GPQA, SWE-bench, HELM).
• Proven track record of building non-trivial agentic systems (multi-step, tool-using) with real evaluations.
• Must be based in or able to work hybrid in Redwood City or San Francisco, CA.
• A strong public body of work including talks, papers, blog posts, or significant OSS contributions.

Nice to have

• Advanced degree or sustained research output in ML/AI.
• Prior experience at an AI lab, OSS-first AI company, or research-driven technical organization.
• Experience as a conference program-committee member or organizer.
• Existing relationships in the post-training, evals, or RL-environments communities.

Culture & Benefits

• Opportunity to shape priorities and strategic decisions in a rapidly scaling, well-funded environment.
• Strong support for career growth, deepening technical expertise, and exploring leadership opportunities.
• Combination of stability and high-growth excitement.
• Commitment to diversity, equity, and inclusion as an Equal Employment Opportunity employer.