Layne Price
Principal Machine Learning Scientist, ML Manager at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLayne Price is a Principal Machine Learning Scientist and ML manager at Amazon with 13 years of experience applying statistical methods, deep learning, and large-scale computational modeling to real-world problems from customer experimentation to protein and geology applications. He blends industry-focused product-building at AWS and Alexa with a deep academic foundation—PhD and postdoc work in cosmology—where he developed hierarchical Bayesian models, neural networks for cosmological parameter inference, and numerical Monte Carlo tools. At Amazon he has led applied ML research teams, built experimental platforms for customer behavior science, and launched new products leveraging large models and computational science. Comfortable moving between rigorous research and production delivery, he brings a rare combination of theoretical physics training and hands-on ML engineering that drives measurable business impact.
13 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Physics and Mathematics, Summa Cum Laude, Bachelor’s Degree, Physics and Mathematics, Summa Cum Laude at The University of Texas at ArlingtonMaster’s Degree, Applied Mathematics and Theoretical Physics, Merit (1st Class), Master’s Degree, Applied Mathematics and Theoretical Physics, Merit (1st Class) at University of CambridgeDoctor of Philosophy (Ph.D.), Physics, Dean's List, Doctor of Philosophy (Ph.D.), Physics, Dean's List at University of Auckland
Github Skills (4)
monte-carlo5
neighbors4
nearest-neighbors4
accelerator2
Programming languages (1)
Github contributions (5)
laynep/genmodules
Sep 2012 - Oct 2012
Contributions:26 commits in 1 month
laynep/boxcount
Sep 2012 - Oct 2012
Contributions:12 commits in 1 month
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