Joe Isaacson
Engineering Leader, Machine Learning at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJoe Isaacson is an engineering leader with 13 years building scalable machine learning teams and production ML software, currently leading PyTorch-focused engineering at Meta. He combines deep applied ML experience—from NLU, recommendation systems, and ads optimization to biotech-grade computational biology and lab automation—with strong infrastructure and product sensibilities. Previously he led ML and data teams at Quora, URX (acquired by Pinterest), and Asimov, shipping search, ranking, A/B testing, and ML pipelines at scale. Known for hiring and growing high-performing teams, he also bridges research and production, having worked on forensic bioinformatics and real-world signal processing at MIT Lincoln Laboratory. Based in Seattle and fluent in Python, he favors pragmatic systems that improve user quality signals and has a track record of navigating acquisitions and cross-functional product impact.
13 years of coding experience
6 years of employment as a software developer
ScB, Applied Mathematics, ScB, Applied Mathematics at Brown University
Stackoverflow
4,032reputation
887kreached
4answers
79questions
Github Skills (69)
python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
tensor10
tensorflow10
autograd10
pytorch10
machine-learning10
interactive9
plotly9
visualization9
Programming languages (5)
Github contributions (5)
jisaacso/DeepHeart
Jul 2016 - Jul 2016
Neural networks for monitoring cardiac data
Contributions:11 commits, 2 pushes, 1 comment in 21 days
neural-networkcardiacmonitoringneural-networks
jisaacso/elasticsearch-tutorial
Jan 2015 - Jan 2015
Contributions:1 commit, 2 PRs, 18 pushes in 1 day
briefindexelasticsearch
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