Snorkel AI

AI Advocate - Open-Source & Research

San Francisco, CA (Hybrid)

Sponsorship not specified$150k-$200kDetected 71 days ago

HelmMachine LearningData EngineeringLLMsAgentic AICadenceResearchLab ResearchLeadershipWriting

About the role

You'll be Snorkel's primary technical voice in the open-source and research communities.

Own Snorkel's external technical voice. Write methodology posts, technical deep-dives, and research-grade content on data development for frontier models.
Lead Snorkel's open-source presence.
Build OSS that demonstrates Snorkel's methodology in practice, including reproducible evals and benchmark artifacts.
Drive conference and research community presence. Land talks, papers, and workshops at NeurIPS, ICML, ICLR, AI Engineer World's Fair, and the right practitioner venues. Build relationships with academic labs and AI research teams.
Partner with the research team. Translate what's learned in research collaborations into externally shareable methodology, case studies, and tooling.
Set the bar for technical credibility. Design evals and benchmarks, prototype RL environments, and write code worth using. Your authority comes from doing the work, not just talking about it.
Own Snorkel's external technical voice.
the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems.
We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before.
frontier AI research teams (post-training, RL environments, evals and benchmarks), enterprise ML and applied AI teams building specialized models on proprietary expertise, and the broader data-centric AI community.

6+ years in applied ML research, AI engineering, developer/research advocacy, or a research-intensive technical role with significant public output.
Prior DevRel/advocate experience welcome but not required.
Deep technical fluency in modern AI.
Hands-on experience with AI evaluation and benchmarks.
You've built and run real evals: public benchmarks (MMLU, GPQA, SWE-bench, HELM, BIG-bench, Arena-style head-to-heads), domain-specific custom evals, and LLM-as-judge pipelines with proper calibration.
A real public body of work.
Talks, papers, blog posts, podcasts, and/or OSS contributions you can point to.
Quality and signal matter more than volume.

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth.

This listing is sourced directly from Snorkel AI's careers page and normalized into a canonical job model.