Summary
Lars Mushom is a Senior Machine Learning Engineer based in Oslo with eight years of experience building production recommender systems and probabilistic ML solutions. Currently leading ML efforts at Oda, he has worked on transformers, product embeddings, and multi-armed bandits to personalize online grocery experiences. He holds an M.Sc. in Industrial Mathematics from NTNU with a specialization in statistics and a thesis on interpretable representations in deep generative models, reflecting a strong foundation in both theory and applied uncertainty reasoning. His background spans industrial research at SINTEF and hands-on internships where he combined manifold learning, Monte Carlo simulation, and graph-based mobility analysis. Known for blending principled probabilistic methods with pragmatic engineering, he focuses on model interpretability and decisions under uncertainty—skills that help translate complex research into measurable product impact.
8 years of coding experience
4 years of employment as a software developer
Exchange student Statistics, Exchange student Statistics at University of California, Berkeley
Studiespesialisering, Studiespesialisering at Eilert Sundt videregående skole
Norwegian University of Science and Technology
Norwegian, English, German