snorkelai · United States (Remote)
Skills: TypeScript, Java
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Role-Senior Software Engineer (Req 722) Snorkel AI, Inc. seeks a Senior Software Engineer in San Francisco, CA to build systems to power large-scale AI workloads for top tier AI research labs. Work closely with other engineers, product managers, and field team members to ensure that Snorkel’s frontier AI datasets meet and surpass the capabilities of the most advanced foundation models. Launch agents into production to accomplish long running reasoning and verification tasks. The Evaluation Engineering team owns critical systems for building high-quality post-training and benchmark datasets, integrating with the latest foundation model technology to push the frontier of models used globally across coding, mathematics, law, medicine, and other advanced domains. Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, data engineering workflow systems, and end user experiences. Recognize and act on opportunities to integrate the latest agentic and foundation model technologies to power eval workflows. Prototype, optimize, and maintain scalable back-end services that will power new foundation model development tools. Design extensible and testable interfaces between internal services including the underlying storage and data models. Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to tak…
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