AI Advocate - Open-Source & Research
Core
Primary technical voice for Snorkel in open-source and research communities, bridging frontier AI research, enterprise ML teams, and the data-centric AI community.
Role type
Senior IC AI Advocate (Open-Source & Research)
Builds
Snorkel's open-source libraries, reproducible evals, benchmark artifacts, and technical content demonstrating data-centric AI methodology.
Domain
Generative AI, Data-Centric AI, AI Evaluation & Benchmarking
Deliverable
production ML models | product features | research
Required skills
Applied ML research, AI engineering, developer/research advocacy, post-training techniques (RLHF, DPO, RLAIF), evaluation methodologies, RL environment design, training data pipelines, synthetic data generation, agentic systems development, AI evaluation and benchmarks, public technical writing, open-source contribution, conference speaking
Preferred skills
Advanced degree in ML/AI, prior experience at AI lab or OSS-first AI company, conference program-committee experience, relationships in post-training/evals/RL communities
Technologies
Python, PyTorch, Hugging Face, LLM-as-judge pipelines, MMLU, GPQA, SWE-bench, HELM, BIG-bench, Claude Code, Cursor, Codex
Responsibilities
Write methodology posts and research-grade content on data development; define GTM and ship code for open-source libraries; publish original work on AI evaluation and benchmarking; land talks and papers at top conferences; translate research collaborations into externally shareable tooling; design evals and prototype RL environments.
Seniority
Senior, hands-on IC