
Job Overview
Location
Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Job Type
Full-time
Category
Data Science
Date Posted
April 14, 2026
Full Job Description
📋 Description
- • As a Research Scientist at Snorkel AI, you will bridge cutting-edge research and real-world AI systems by prototyping, building, and deploying innovative AI solutions that translate research breakthroughs into scalable, practical applications solving real-world problems.
- • Day to day, you will design, implement, and validate novel AI techniques for data development such as synthetic data generation and LLM as a Judge; prototype and build end-to-end workflows integrating research into scalable systems; write high-quality, maintainable code; iterate rapidly in response to new challenges and customer needs; collaborate with design partners to test solutions in applied settings; and work with research scientists, engineers, and industry partners to productionize prototypes and advance broader research initiatives.
- • Snorkel AI operates in a fast-paced, high-impact environment where expert knowledge is transformed into specialized AI at scale. The company works with world-leading organizations to empower experts across fields to build custom AI with their data faster than ever, rooted in the belief that meaningful AI starts with data, not models.
- • In this role, you can deepen your expertise in applied AI research, gain experience productionizing cutting-edge techniques like LLMs and generative AI, strengthen your software engineering and ML infrastructure skills, and directly impact enterprise AI adoption while growing your career in a stable, high-growth company with opportunities to shape strategy and explore leadership.
Skills & Technologies
About Snorkel AI, Inc.
Snorkel AI provides a programmatic data-labeling platform that enables enterprises to build, curate and manage training data for machine-learning models at scale. Founded in 2019 by researchers from the Stanford AI Lab, the company commercializes the Snorkel framework, replacing manual annotation with weak supervision, labeling functions and AI-assisted iteration. Its flagship product, Snorkel Flow, offers an integrated development environment where subject-matter experts write rules, models auto-label data, and teams continuously refine datasets to accelerate AI deployment in industries including financial services, healthcare and government.
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