Snorkel AI
Snorkel is seeking an AI Engineer to design and build infrastructure for large-scale agentic workloads, synthetic data generation, and evaluation systems. The role involves developing orchestration and distributed compute systems to run AI experiments reliably while ensuring non-deterministic workloads are observable and reproducible. This position requires strong software engineering fundamentals combined with experience operating AI systems in production.
Headquarters
Redwood City, California, United States
Company Size
51-200 employees
Founded
2019
Snorkel AI is a data development company, founded out of Stanford AI Lab, that builds specialized training data, benchmarks, and evaluation environments for frontier AI models and agents. It partners with frontier labs and AI teams to develop expert-curated datasets, rubrics, and runnable environments targeting high-stakes and hard-to-evaluate domains. Snorkel AI also publishes research and open benchmarks to advance data-centric AI development.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Snorkel AI.
Snorkel AI didn’t post a salary, so this is our estimate from similar listings.
10% below the average for this role
Snorkel AI Raises $100 Million To Build Better Evaluators For AI Models
May 29, 2025