Shaojing Li is a senior engineering manager specializing in ML platform and GenAI, currently building Netflix’s scalable training and inference infrastructure for LLMs and large multi-modal models. With a PhD in ECE and roughly six years in industry leadership roles (and a longer technical career), he brings deep expertise in distributed training, inference, model development infra, and hardware acceleration. He previously led major ML infrastructure and PyTorch ecosystem efforts at Meta and built large simulation and visualization platforms at Lyft and Uber, demonstrating a rare blend of low-level GPU optimizations and high-level ML platform design. Known for shipping production-grade systems—from Metal and OpenCL contributions at Apple and Qualcomm-era GPU work to PyTorch tooling—he connects research needs with production constraints. Colleagues rely on him to scale complex ML workflows across research, application, and studio engineering teams while keeping performance and cost-efficiency front of mind.
5 years of coding experience
17 years of employment as a software developer
B. S. Electrical Engineering, B. S. Electrical Engineering at Wuhan University
University of California, San Diego
High School High school diploma, High School High school diploma at Wuhan Foreign Languages School
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Shaojing Li - Senior Engineering Manager, ML Platform And GenAI