Summary
Layne 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.
14 years of coding experience