Matt Sosna
Senior Machine Learning Engineer at Meta
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolMatt Sosna is a Senior Machine Learning Engineer at Meta with eight years of experience building production ML pipelines and classifiers to scale detection of abusive behavior, particularly around elections. He blends a strong research pedigree—a PhD in Ecology and Evolutionary Biology and NSF and Fulbright fellowships—with practical engineering skills in Python, SQL, Haskell, C++, and PySpark. His background spans data-quality automation, large-scale feature engineering (including scraping 700k+ IRS forms), and building customer-facing analytics at startups and enterprise teams. Matt has also tutored bootcamp students in full-stack and data tooling, reflecting a knack for explaining complex systems clearly. Colleagues would note his unusual path from published behavioral ecology research to high-impact ML systems, which gives him a data-driven, experiment-first approach to product problems.
8 years of coding experience
7 years of employment as a software developer
University of Illinois Urbana-ChampaignPh.D., Ecology and Evolutionary Biology, Ph.D., Ecology and Evolutionary Biology at Princeton University
English, Spanish, Polish
Stackoverflow
99reputation
6kreached
2answers
4questions
Github Skills (28)
tidyverse7
jekyll6
tidymodels6
css6
pytest6
dataframe6
python-wheel6
pandas6
python-unittest6
r6
data-science6
tidy5
jekyll-theme4
highlighting4
dplyr3
Programming languages (2)
Github contributions (5)
mgsosna/Commute_Data
Nov 2017 - May 2018
Contributions:14 commits, 4 PRs, 11 pushes in 6 months
visualizationsdata-visualizationcommutevisualization
mgsosna/ML_projects
Apr 2018 - Jan 2024
Function for performing linear regression on any-dimensional input data via gradient descent, with visualizations and comparisons to the analytical solution
Contributions:2 PRs, 66 pushes, 5 branches in 5 years 10 months
regression-modelsvisualizationsanalytical-solutionstatisticsdataframes
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