Mark Kurzeja

Staff Research Engineer at Google DeepMind

United States
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Summary

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Senior
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Top School
Mark Kurzeja is a Staff Research Engineer at Google DeepMind with a decade of experience building and securing large-scale machine learning systems and applied Bayesian models. He has progressed from designing deployed Bayesian defenses for billions of Android devices to leading frontier-model alignment and post-training mitigation efforts at DeepMind. His background blends rigorous applied statistics (Master’s in Applied Statistics) with finance and math roots, having modeled multi-hundred-million-dollar CLOs earlier in his career. Mark brings practical production expertise across foundation model training, sparse ML, ranking, and combinatorial algorithms, and he teaches complex statistics topics to large audiences—evidenced by a Coursera course with 80,000+ enrollees. Colleagues know him for a thoughtful, skeptical approach to certainty—reflected in his GitHub bio—and for translating probabilistic reasoning into robust, production-ready AI safety systems.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree Applied Statistics, Master's degree Applied Statistics at University of Michigan - Rackham Graduate School
bookMinor in Mathematics and Minor in Computer Science, Minor in Mathematics and Minor in Computer Science at University of Michigan
bookBachelor of Business Administration (B.B.A.) Finance, Bachelor of Business Administration (B.B.A.) Finance at University of Michigan - Stephen M. Ross School of Business
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Github Skills (4)

stan3
programming-language2
transpiler2
compiler1

Programming languages (1)

OCaml

Github contributions (5)

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MarkKurzeja/Latex-Templates

Aug 2018 - Oct 2021

Contributions:17 commits, 16 pushes, 3 branches in 3 years 2 months
MarkKurzeja/Shiny-Apps

May 2018 - Mar 2019

Contributions:39 pushes, 3 branches in 10 months
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Mark Kurzeja - Staff Research Engineer at Google DeepMind