Snorkel AI accelerates AI development by automating manual processes with programmatic solutions. The company empowers enterprises to build custom AI models using proprietary data 10-100x faster, catering to unique workloads. Backed by leading venture capital firms and deployed at top organizations like Google and Stanford, Snorkel's technology enables efficient use of weak supervision for machine learning tasks across various industries.
Open Positions
Lead Field Marketing & Events Manager
5-7 years of field marketing experience, proven track record of event planning and execution, and strong cross-functional collaboration skills
Applied Research Engineer – Training Infra
Hands-on experience with GPU clusters, distributed compute orchestration tools, and ML experiment tracking
Senior/Staff Research Scientist
Ph.D. in machine learning or related field with a strong publication record or equivalent expertise gained through industry experience, research labs, or other career paths
Principal Growth Marketing Manager
8-10 years of experience in growth marketing, demand generation, or performance marketing, with a track record of building and scaling programs that drive pipeline and revenue
Applied AI Engineer - AI Solutions
B.S. degree in a quantitative field, 3+ years of customer-facing experience, proficiency in Python, expertise across the Applied AI stack, experience leading strategic initiatives, outstanding presentation skills, ability to work in a fast-paced environment
Manager, Technical Delivery
5+ years of experience in technical delivery, operations, or program management, with 3+ years managing people or teams. Strong grounding in data systems, analytics, or AI/ML concepts, and proven track record of developing and scaling high-performing teams
Staff Product Manager – Marketplace
7+ years of experience as a Product Manager, experience building products for the gig economy, and strong SaaS UI/UX design sense
Forward Deployed Engineer - Data-as-a-Service
2+ years of experience in data science and engineering, strong practical experience with Python, SQL, and data tooling
Applied AI Engineer- Federal
B.S. degree in a quantitative field and 3+ years of customer-facing experience in AI/ML solutions
Senior Product Manager – Data & Quality
5-7 years of experience as a Product Manager, technical literacy, and ability to drive technical roadmaps
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