Jonas Pollok

Principal Applied Scientist - Machine Learning at Zalando

Berlin, Germany
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Summary

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Senior
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Top School
Jonas Pollok is a Principal Applied Scientist in Berlin with 15 years of experience building machine learning systems and personalization at scale. He has progressed through hands-on engineering and research roles at Zalando, moving from software engineer to principal scientist while shipping contextual bandits, low-latency inference services, and robust data collection pipelines to reduce distributional shift. Trained as a physicist at Humboldt-Universität, he combines strong analytical foundations with practical production engineering to bridge counterfactual ML research and customer-facing solutions. An early adopter and lifelong learner, Jonas focuses on counterfactual aspects of ML and turning them into deployable features that improve user relevance. He is notable for designing architectures that explicitly align training and inference distributions, a behind-the-scenes contribution that materially improves model reliability in production. Based in Berlin, he thrives at the intersection of research, systems engineering, and product impact.
code16 years of coding experience
job11 years of employment as a software developer
bookMaster’s Degree Physics, Master’s Degree Physics at Humboldt-Universität zu Berlin
languagesEnglish, German, Polish
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Github Skills (21)

rust8
cargo7
text-based7
compiler7
crate6
lightstep6
rust-language5
garbage-collection5
allocator5
deep-learning5
pkg-config5
rust-lang5
haskell3
opentracing3
java2

Programming languages (6)

JavaCRustJavaScriptHaskellJupyter Notebook

Github contributions (5)

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jonasp/erlang-foaf-ssl

Aug 2010 - Jun 2013

Contributions:12 commits in 2 years 10 months
jonasp/jonasp.github.io

Nov 2015 - Sep 2025

Contributions:7 pushes, 1 branch in 9 years 11 months
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