Jason Benn
Founding Engineer at Union (stealth)
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJason Benn is a Founding Engineer and machine learning practitioner with 12 years of software experience and a track record of shipping practical ML systems from research to revenue. Based in San Francisco, he’s blended startup building (sole founding MLE at Sourceress that helped reach $2M ARR) with safety-focused research, coauthoring CVE-Bench and winning ICML spotlight and CAIS SafeBench prizes. He’s repeatedly built production-grade pipelines and automation—designing active learning to produce ~400 high-quality datasets, an “internal Kaggle” model competition system, and large-scale scraping and deployment workflows. More recently he contributed to model-diffing and post-training generalization research at Goodfire and now helps steer a collective-intelligence company as a founding engineer. Jason documents his learning in public and brings a rare mix of founder grit, ML research chops, and systems-level reliability engineering.
13 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at Bradfield School of Computer ScienceB.A., Economics, B.A., Economics at University of Virginia
Github Skills (60)
crowd9
deep-learning9
conversations9
redux8
remnote7
usb7
profiling7
midi7
profiler7
react7
js7
roamresearch6
language-server6
command-line-utility6
ai6
Programming languages (9)
Github contributions (5)
JasonBenn/archive.house
May 2018 - Jun 2021
Contributions:49 commits, 4 PRs, 48 pushes in 3 years
JasonBenn/dbms
Feb 2017 - Feb 2017
Contributions:48 commits, 28 pushes, 1 branch in 11 days
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