Senior Machine Learning Scientist at Vir Biotechnology, Inc.
Carlsbad, California, United States
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Summary
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Christopher Rivera is a Senior Machine Learning Scientist and quantitative biochemist with 11 years of experience translating wet-lab intuition into production ML systems across biotech and large tech. He has led high-impact personalization and fraud teams at Amazon—shipping recommender systems at scale that influenced hundreds of millions of customers and delivered large annualized profits—before applying those skills to biotech problems at Vir Biotechnology. His background spans clinical work, genomics, image analysis, time-series forecasting and network-based fraud detection, giving him a rare cross-domain fluency in experimental design and data-driven productization. He combines statistical rigor, visualization, and production ML (Python, R, SQL, PyTorch, SageMaker) to move ideas from hypothesis to validated deployment. Notably, he co-authored internal methodological work at Amazon and helped secure an SBIR grant earlier in his career, reflecting both research depth and applied impact. Based in Carlsbad, CA, he enjoys probing how complex systems work by iterating experiment, model, and deployment.
11 years of coding experience
16 years of employment as a software developer
M.D., Medicine, M.D., Medicine at University of California, San Francisco - School of Medicine
B.S., Biochemistry, B.S., Biochemistry at University of California, Riverside
Ph.D., Biochemistry and Molecular Biology, Ph.D., Biochemistry and Molecular Biology at University of California, San Francisco
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Christopher Rivera - Senior Machine Learning Scientist at Vir Biotechnology, Inc.