Yunzhe Li is a Senior Machine Learning Engineer in the San Francisco Bay Area with eight years of experience applying Bayesian nonparametric methods and survival analysis to real-world problems. He holds a PhD in Statistics from UC Santa Cruz and has translated academic research into production at scale, building retrieval-ranking and second-pass ranker systems for LinkedIn’s immersive video platform. His background spans research and industry—designing Gaussian process-based contextual bandits at Meta, leading generative AI infrastructure prototyping, and analyzing bias in student evaluations through large unified data pipelines. Comfortable across the full ML lifecycle, he combines probabilistic modeling depth with practical engineering: end-to-end data pipelines, PyTorch implementations, and cross-functional product collaboration. An understated strength is his ability to bridge rigorous statistical methods with pragmatic ranking and recommender solutions that measurably boost engagement.
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