Jonas Pollok
Principal Applied Scientist - Machine Learning at Zalando
Berlin, Germany
Summary
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Senior🎓
Top SchoolJonas 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.
15 years of coding experience
11 years of employment as a software developer
Master’s Degree Physics, Master’s Degree Physics at Humboldt-Universität zu Berlin
English, German, Polish
Github Skills (33)
rust9
cargo8
standard-library7
compiler7
package-manager7
rust-language6
crate6
text-based6
rust-lang6
garbage-collection5
allocator5
deep-learning5
lightstep5
pkg-config5
spring5
Programming languages (5)
Github contributions (5)
jonasp/erlang-foaf-ssl
Aug 2010 - Jun 2013
Contributions:12 commits in 2 years 10 months
jonasp/mma-base
May 2016 - May 2019
Contributions:1 push, 1 branch in 3 years
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