Mark Lee

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Summary

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Rockstar
Mark Lee is an AI research scientist with 11 years of experience building production-grade ML systems, currently working at Meta's Superintelligence Lab. He was the first member of Apple's Foundation Models team under Ruoming Pang and led the development of AXLearn, bridging open-source research tooling with large-scale model engineering. At Uber ATG he built and optimized core remote inference and perception infrastructure—rewriting services and clients to simplify APIs and doubling inference throughput. Combining research rigor from a CMU teaching stint with hands-on backend and Golang expertise, he excels at turning foundation-model research into reliable, reproducible production platforms. Based in the San Francisco Bay Area, he focuses on scalable training, inference platforms, and tooling that accelerates research-to-production cycles.
code11 years of coding experience
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Github Skills (23)

deep-learning10
jax10
pytorch9
autodiff9
python9
machine-learning9
natural-language-processing9
composable9
gpu9
automatic-differentiation9
jit9
speech-recognition9
nlp9
transformer8
bert8

Programming languages (2)

C++Python

Github contributions (5)

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apple/axlearn

Jul 2023 - Apr 2025

An Extensible Deep Learning Library
Contributions:766 reviews, 428 PRs, 61 pushes in 1 year 8 months
deep-learningjax
markblee/axlearn

Jul 2023 - Apr 2025

Contributions:229 pushes, 411 branches in 1 year 8 months
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