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Snorkel AI
Snorkel AI
6 open remote positions
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises and is scaling rapidly.
Salary Distribution
5 of 6 jobs
Benefits Overview
2 of 6 jobs
Open Positions
Red-team frontier benchmarks: identify and reproduce issues like reward hacking, grader failures, task ambiguity, shortcuts, and environment vulnerabilities. Develop benchmark repairs: propose next steps, implement fixes with authors, and verify without breaking valid solutions. Drive research impact: contribute to technical reports, open-source tools, publications, and new approaches to benchmark evaluation.
Machine Learning
Python
AI Evaluation
Partner closely with Sales and AI Solution Practice Leaders to shape technical strategy during pre-sales engagements. Lead structured technical discovery to identify customer objectives and translate them into GenAI solution architectures. Design and deliver bespoke demos and proposals that demonstrate measurable business outcomes using modern AI techniques.
Python
LLM
RAG
Data Processing
Machine Learning
Work closely with engineers, product managers, and field team members to ensure Snorkel's frontier AI datasets meet and surpass the capabilities of the most advanced foundation models. Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, and data engineering workflow systems. Prototype, optimize, and maintain scalable back-end services that will power new foundation model development tools.
Java
TypeScript
Relational Databases
Distributed Systems
Own Open Benchmarks Grants end-to-end, leading operations for Snorkel’s $30M commitment to open benchmarks. Lead external research partnerships and manage budgets, resources, and cross-functional execution. Build and scale a multi-year research program, measuring impact to improve future cycles.
Program Management
Budget Management
AI/ML Knowledge
Cross-functional Leadership
Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships. Translate benchmark insights into clear, compelling narratives for customer-facing presentations, technical reports, and go-to-market materials. Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements.
NLP
Experimental Design
Communication
Cross-functional Collaboration
Lead a team building regulated infrastructure for federal and enterprise customers end to end. Partner with platform and security teams to deploy services in high-assurance environments without forking the product. Drive hiring, coaching, and standards while owning monitoring, vulnerability management, and incident response.
Engineering Management
Infrastructure As Code
CI/CD
Cloud
FedRAMP