Pelle Sillrén
Machine Learning Engineer at Spotify
Gothenburg, Sweden
Summary
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Rockstar🎓
Top SchoolPelle Sillrén is a machine learning engineer in Gothenburg with about five years’ industry experience and a background that bridges academic physics and production ML. He has progressed through senior data science roles at Spotify into machine learning and deep learning positions, applying models to media understanding and video classification. Prior work includes lead data science for large-scale ad systems (C#, Hadoop/Spark, Python) and a PhD in applied physics studying hydrogen-bonded liquids, giving him strong quantitative and experimental instincts. Pelle’s career shows a pattern of moving research-grade reasoning into robust, production-focused models—an asset when turning complex signal patterns into scalable features. He also has entrepreneurial experience building iOS apps, reflecting a hands-on product sensibility beyond pure research.
5 years of coding experience
14 years of employment as a software developer
Research project, Liquid state physics, colloids and perturbation theory, Research project, Liquid state physics, colloids and perturbation theory at University of CambridgePhD Applied physics, H-bonding structure and dynamics in liquid alcohols, PhD Applied physics, H-bonding structure and dynamics in liquid alcohols at Chalmers University of TechnologyStatistics, Software architecture, Intelligent systems, Databases, Philosophy, Gender studies, Statistics, Software architecture, Intelligent systems, Databases, Philosophy, Gender studies at RMIT University
English
Github Skills (10)
visualization10
bokeh10
data-science9
python9
charts9
data-visualization8
tampermonkey7
javascript4
searching4
django1
Programming languages (2)
Github contributions (5)
spotify/confidence
Apr 2021 - Jan 2023
Contributions:37 releases, 32 reviews, 172 commits in 1 year 9 months
iampelle/chartify
Mar 2021 - Oct 2022
Python library that makes it easy for data scientists to create charts.
Contributions:2 pushes in 1 year 7 months
python-librarychartsscientistspythonbootstrapping
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