Josh Mcgrath is a machine learning and data-quality engineer with 11 years of experience building research-driven systems across startups, academia, and large tech firms. Currently a Member of Technical Staff at OpenAI, he previously helped found and scale DatologyAI and was an early engineer at Inductiv (acquired by Apple), with roles at Snorkel AI and Apple bridging research and production. His academic work includes a PhD stint at the University of Waterloo and research at UW–Madison that produced systems like COSMOS and the SIGMOD paper HoloDetect, signaling deep expertise in data cleaning and label quality. Josh blends hands-on model and post-training know-how with a systems-first approach to data reliability, making him effective at moving research into production. Based in San Francisco, he has a strong track record of shipping ML infrastructure and tooling that reduces data friction in real-world pipelines. An uncommon strength is his cross-domain fluency—from curriculum development for youth to founding-stage product engineering—reflecting both technical depth and practical mentorship.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at University of Wisconsin-Madison
Contributions:88 commits, 59 pushes, 2 branches in 1 month
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