Applied Machine Learning Engineer

Snorkel AI is looking for an Applied Machine Learning Engineer to research and utilize state-of-the-art machine learning techniques to deliver solutions to customers. The role involves engaging with new ML use cases, helping to generalize learnings into the core Snorkel Flow platform, and prototyping new ways to deliver value to customers. Required skills include expertise in modern machine learning frameworks and technologies such as PyTorch, Transformers, Scikit-learn, NumPy, and Pandas. The position necessitates experience in building and maintaining large-scale production data pipelines for machine learning applications.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Snorkel AI is committed to democratizing AI by offering a definitive AI data development platform designed to empower a diverse range of professionals to build custom AI with their data efficiently. Originating as a research project in the Stanford AI Lab in 2016, Snorkel AI has focused on the pivotal role of data in achieving high-performance, production-ready AI systems amidst the evolving AI landscape. They collaborate with some of the world’s largest organizations, aiming to drive innovation and redefine AI development through their platform. Snorkel AI prioritizes inclusivity in the AI and software engineering fields, actively engaging underrepresented communities to contribute and shape the future of these technologies.

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