We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As an Applied Machine Learning Engineer, you’ll research and utilize established and state-of-the-art machine learning (ML) techniques to successfully deliver solutions to our customers. You'll engage new ML use cases through hands-on customer problems and help generalize learnings into the core Snorkel Flow platform. We move fast and are constantly prototyping new ways to deliver value to our customers. The road from A to B isn’t always clear-cut, and the impact of our work is global. Our team is mission-driven and customer-obsessed, and we are looking for an intellectually curious and energetic individual who can replicate this model across our ML initiatives.
The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $140,000.00 - $200,000.00. All offers include equity compensation in the form of employee stock options.
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