Summary
Peter Schulam is a Senior Applied Scientist with 13 years of experience building machine learning and natural language systems, currently working on Amazon’s Artificial General Intelligence efforts in El Segundo. He holds a PhD in Machine Learning and an MS in ML/NLP, bringing deep research rigor to production-focused roles that span startups and large tech, including Bayesian Health and multiple positions at Amazon. Peter excels at turning cutting-edge ML research into scalable, real-world systems, particularly in language and probabilistic modeling. His background combines academic depth with hands-on engineering as a senior engineer and applied scientist, enabling pragmatic solutions for complex inference and data challenges. Colleagues describe him as someone who bridges theory and product: he both publishes and ships, favoring reproducible, robust implementations.
13 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Johns Hopkins Whiting School of Engineering
Master of Science (M.S.), Machine Learning and Natural Language Processing, Master of Science (M.S.), Machine Learning and Natural Language Processing at Carnegie Mellon University
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Princeton University
English