Summary
Matthias Mauch is an ML research manager leading Apple Music’s Music ML Research team, responsible for the machine learning that powers personalised experiences from Home to Discovery Station and features like Apple Music Sing and AutoMix. With 14 years of experience bridging academic audio informatics and production ML, he moved from PhD research to shipping large-scale recommender systems and audio intelligence in production. He combines hands-on expertise in audio analysis, recommender algorithms and scalable tooling (Python, TensorFlow, Spark, Scala/Java) with a track record of translating novel research into user-facing product improvements. A caring technical leader and supervisor of PhD candidates, he has guided both content intelligence and personalization research since 2021. Based in the UK, Matthias is driven by a mission to explain and deploy ML that helps users love music more each day—bringing deep signal-processing roots to modern personalization challenges.
14 years of coding experience
10 years of employment as a software developer
part of my Diplom, mathematics, part of my Diplom, mathematics at Università degli Studi di Padova
Abitur, Mathematics, English, Music, History, Abitur, Mathematics, English, Music, History at Pestalozzi-Gymnasium Unna
PhD, Electronic Engineering, PhD, Electronic Engineering at Queen Mary University of London
Diplom (Integrated Master's), Mathematics, Diplom (Integrated Master's), Mathematics at Universität Rostock
German, English, Italian, French