Senior Staff Machine Learning Engineer at HelloFresh
New York, New York, United States
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Summary
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Michał Augoff is a Senior Staff Machine Learning Engineer based in New York with 11 years of experience building end-to-end ML products and MLOps infrastructure, primarily at HelloFresh. He combines hands-on modeling (CatBoost, XGBoost, TensorFlow) with production engineering—designing pipelines in PySpark, Databricks, Airflow/Prefect and automating deployments via Terraform, Docker and GitHub Actions. His background spans applied research in bioinformatics and deep learning—publishing in Bioinformatics and translating research prototypes into production systems—bringing a rare bridge between academic rigor and production reliability. Known for leading growth and marketing ML initiatives, he focuses on scalable experimentation, data-driven acquisition models, and operationalizing models at scale. Outside core ML work he has engineered denoising autoencoders for sensitive tabular data and built internal experimentation frameworks, reflecting a pragmatic curiosity for both privacy-aware modeling and robust tooling.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Wrocław University of Science and Technology
Contributions:1 release, 85 commits, 2 PRs in 3 years 9 months
simulatorpythonsimulationsimulation-framework
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Michał Augoff - Senior Staff Machine Learning Engineer at HelloFresh