Summary
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.
11 years of coding experience