Jonathan Frankle is Chief AI Scientist at Databricks and a founding technical leader from the MosaicML team, bringing 11 years of experience at the intersection of cutting-edge ML research and product-grade systems. He holds advanced computer science degrees from Princeton and MIT (PhD), and his career includes research roles at Google Brain and FAIR, reflecting deep expertise in large-scale model development and training. Jonathan combines academic rigor with startup execution—helping build MosaicML through acquisition and now shaping AI strategy and tooling at Databricks. He also advises as a Venture Partner at Inspired Capital and has contributed to AI policy forums like the OECD, signaling a broader interest in governance and societal impact. Known for bridging research and production, he often operates where novel algorithms meet real-world deployment constraints. An unexpected thread through his career is teaching law students to code, highlighting his ability to translate complex technical ideas for non-technical audiences.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Massachusetts Institute of Technology
Master's Degree Computer Science, Master's Degree Computer Science at Princeton University
Contributions:6 commits, 9 pushes, 1 branch in 1 month
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Jonathan Frankle - Chief AI Scientist at Databricks