Žofia Trsťanová
Machine Learning Engineering Manager at Spotify
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolŽofia Trsťanová is a Machine Learning Engineering Manager at Spotify with eight years of experience translating advanced research into production recommender systems and personalization features. With a PhD in Applied Mathematics and a background as a postdoc at the University of Edinburgh and researcher at Inria, she blends deep expertise in sampling, molecular dynamics, and dimension reduction with practical ML engineering in large-scale recommendation and NLP systems. At Spotify she leads a team in the Personalisation Mission, having previously built production ML at Criteo and delivered industrial collaborations for wind-energy analytics. Known for shipping robust Python/PyTorch solutions, continuous-integration practices, and documented packages, she bridges theoretical rigor and product-focused execution. Based in Paris, she brings a rare combination of academic research, scientific publications, and hands-on systems experience to drive measurable improvements in user personalization.
8 years of coding experience
10 years of employment as a software developer
Vienna University of TechnologyDoctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Université Grenoble AlpesApplied Mathematics, Applied Mathematics at École Polytechnique
Czech, Slovak, English, French, German, ItalianProgramming languages (1)
Github contributions (5)
ZofiaTr/DFM
Aug 2017 - Jul 2018
Contributions:1 PR, 42 pushes, 1 branch in 11 months
ZofiaTr/GeneralizedDiffusionMap
Sep 2017 - Oct 2017
Contributions:14 commits, 4 pushes, 1 comment in 15 days
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