Stefan Magnuson is a Senior Software Developer with 12 years of experience combining machine learning research and hands-on engineering to build production search and relevance systems. Currently at Shopify he designs search foundations—from embedding choices and relevance engineering to building a new reranker—and previously shipped automated XGBoost reranking pipelines, vector search stacks and a Stable Diffusion prototype that influenced Shopify Magic. A PhD-trained ML researcher turned Ruby/Rails and Python practitioner, he brings deep algorithmic roots alongside pragmatic cloud-native delivery on AWS. He has a history of founding and scaling products (one acquired) and leading transformations of legacy Rails platforms into compliant, enterprise-grade services. Colleagues rely on him for bridging research and product: he turns models and experimental ideas into measurable improvements in real-world search.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at The University of Manchester
George Watson's College
AS & A2 Japanese Japanese, AS & A2 Japanese Japanese at Manchester College of Arts and Technology
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