Colin Clement
Senior Machine Learning Engineer at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolColin Clement is a Senior Machine Learning Engineer with a decade of experience applying statistical physics and Bayesian modeling to automate software engineering workflows at scale. He has led evaluation and fine-tuning of large code-focused language models for products like GitHub Copilot, integrating solutions into VSCode, Visual Studio, and Azure DevOps to power code completion, search, review, and automated bug patching. His background—PhD in statistical physics from Cornell and dual BA in Physics and Mathematics—drives a rigorously quantitative approach to model performance and training efficiency. Colin combines research pedigree (published work and multiple patents) with product delivery across Microsoft, Kepler Computing, and Meta, uniquely bridging theory (spin-glass learning, renormalization-group dynamics) and production ML engineering. An uncommon strength is his use of physics-inspired lower-dimensional representations to make complex model behavior more interpretable and actionable for developer tools.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA Physics, Bachelor of Arts - BA Physics at University of MinnesotaDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Cornell University
Github Skills (51)
facebook10
datasets10
ctc10
sequence10
arxiv10
natural-language-understanding9
artificial-intelligence9
pytorch9
python9
conformer9
transformer-architecture9
nlp9
sequence-to-sequence9
sentence-similarity8
natural-language-processing8
Programming languages (5)
Github contributions (5)
colinclement/dotfiles
Sep 2019 - Jul 2024
Contributions:11 pushes, 2 branches in 4 years 10 months
mattbierbaum/arxiv-public-datasets
Feb 2019 - Jul 2022
A set of scripts to grab public datasets from resources related to arXiv
Contributions:14 reviews, 97 commits, 11 PRs in 3 years 5 months
pythonarxivgrabdatasetdatasets
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