Max Losch

Senior Machine Learning Scientist at QuantPi

Berlin, Germany
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Summary

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Senior
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Top School
Max Losch is a Senior Machine Learning Scientist based in Berlin with 11 years of experience specializing in computer vision, model interpretability, and adversarial robustness. He transitioned from academic research—publishing in IJCV, ICLR, Cortex and GCPR during a PhD—to industry roles where he makes robustness and fairness testing practical for multi-modal, production-grade systems. At QuantPi he scaled model and dataset testing by introducing modular "Compositions", dataset pipelines, and concurrency improvements for image and video modalities. His work bridges rigorous subgroup-discovery research for trustworthy AI with hands-on engineering to make testing libraries easy to adopt and performant. Uncommonly for someone with a deep research background, he focuses on tooling and scalable pipelines that directly lower the barrier to robust ML evaluation in industry.
code11 years of coding experience
job3 years of employment as a software developer
bookMaster of Science (M.Sc.), Machine Learning, Master of Science (M.Sc.), Machine Learning at KTH Royal Institute of Technology
bookBachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Freie Universität Berlin
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universität des Saarlandes
languagesGerman, English
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Stackoverflow

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Github Skills (17)

python-interface8
simplify8
deep-learning3
python3
caffe3
pytorch3
journal3
machine-learning3
computational-science2
replication2
neural-network2
tensorflow2
lua2
reproducible-science1
encoder1

Programming languages (3)

LuaPythonCuda

Github contributions (5)

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mlosch/emu

Oct 2016 - Mar 2018

Contributions:6 commits, 2 PRs, 29 pushes in 1 year 5 months
pytorchpythondeep-learningpython-interfacetorch
mlosch/FeatureSharing

Apr 2017 - Jun 2018

Contributions:5 commits, 10 pushes in 1 year 1 month
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