Snorkel AI

HQ
Redwood
Year Founded: 2019

Snorkel AI Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers supplemental life insurance

Offers childcare benefits

Offers generous parental leave

Offers company equity

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Company Culture

Offers a remote work program

Recently posted jobs

3 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Machine Learning
Leads development of frontier AI benchmarks and datasets in collaboration with academic and commercial partners. Designs evaluation datasets, translates research findings into customer-facing narratives, informs product and company strategy, and represents Snorkel through publications, talks, reports, and customer engagements. Requires expertise in AI/ML evaluation or NLP, rigorous experimental design, strong communication, cross-functional collaboration, and interest in AI data commercialization.
3 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Machine Learning
Own Snorkel AI’s $30M Open Benchmarks Grants program end to end, including application cycles, reviews, funding, milestones, public releases, partner relationships, portfolio budget, resource allocation, and impact measurement. Coordinate research, delivery, legal, finance, and marketing teams while building a scalable multi-year research program and supporting external AI research collaborators.
10 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Machine Learning
Build and improve backend product capabilities for data cataloging, agent benchmarking, and workflow automation. Own features from user problem definition through design, implementation, launch, and production support. Develop APIs, services, data models, and workflow systems; investigate performance and production issues; contribute to architecture and code quality; and collaborate with Product, Design, and Engineering. The role is hybrid, requiring at least three days weekly in San Francisco or New York City.