Summary
Bonnie Magnuson is a Staff Applied AI Scientist with 11 years of experience applying machine learning and LLMs to high-impact product problems, currently based in Salt Lake City. She has led production LLM projects at Stripe—improving RAG answer quality by 250% and scaling a 21k-user dashboard assistant—and built robust ML systems at Samba TV that powered novel causal TV attribution and feature-generation tooling. Her background blends quantitative geography research, large-scale Python/PySpark pipelines, and causal inference, giving her a strong foundation in both spatial data and production analytics. Bonnie is skilled at turning research into reliable product features, evidenced by shipping production intent classifiers, rankers, and experiment frameworks that measurably improved user outcomes. She has a track record of mentoring teams and stepping into leadership roles while maintaining hands-on coding and model development. Fluent in French and trained in quantitative methods, she brings a multidisciplinary perspective that helps bridge domain expertise and state-of-the-art ML.
11 years of coding experience
13 years of employment as a software developer
Master's degree, Geography, 4.0, Master's degree, Geography, 4.0 at University of California, Davis
Diplôme Supérieur d'Études Françaises, French DALF-C2 diploma, Diplôme Supérieur d'Études Françaises, French DALF-C2 diploma at Université de Strasbourg
BA & BS, International Studies, French, Economics, 4.0, BA & BS, International Studies, French, Economics, 4.0 at University of Idaho
python, r, vba, sql, ruby