Ben Hall
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolBen Hall is a machine learning engineer and entrepreneurial leader with 11 years of experience building production ML systems and teams across consumer and editorial products. He has led ML efforts at Meta and Condé Nast, shipping CLIP- and BERT-based search, GNN recommendation systems, real-time ad propensity models, and QLoRA fine-tuned generative prototypes for editorial use. Previously he delivered polished consumer features like Warby Parker’s Virtual Try-On and Prescription Check and led product-grade mobile and multimodal systems at Ro. Ben combines research-aware technical rigor with a culture-first management style that emphasizes trust, regular shipping, and measurable product impact. Based in New York, he pairs early-stage founder experience with large-scale production know-how—often turning prototype ideas into legally and operationally mature systems.
11 years of coding experience
16 years of employment as a software developer
MSci Physics, MSci Physics at Imperial College LondonUniversity College London
Github Skills (23)
testing9
drawing9
react8
split-testing8
declarative7
canvas7
collaboration7
whiteboard6
visualization6
programming-language4
sketching4
capstone2
munin2
css1
styles1
Programming languages (5)
Github contributions (5)
react-alpha-beta/alphabeta
Apr 2016 - Jul 2019
Declarative split testing for React
Contributions:11 commits, 2 PRs, 1 push in 3 years 4 months
reactsplittestingdeclarativesplit-testing
bxh-io/hfdiy
Jan 2017 - Jan 2017
Contributions:44 pushes, 2 branches in 5 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.