Jonathan Gordon
Research Scientist at OpenAI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Gordon is a research scientist at OpenAI with 11 years of experience bridging academic rigor and applied ML research. Trained at Cambridge (PhD student in Machine Learning) and Ben-Gurion University, he has focused on scaling models and exploiting structure in language, with internships at Facebook AI (symmetries for language modeling) and Microsoft Research (probabilistic models for neural architecture search). Based in San Francisco, he combines deep theoretical grounding with hands-on systems work to push large-scale model capabilities. Colleagues describe him as equally comfortable designing experiments and driving them into production-scale research, and his trajectory suggests a knack for bringing principled ideas from academia into high-impact industry settings.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree, Machine Learning, Speech and Language Technologies, Master’s Degree, Machine Learning, Speech and Language Technologies at University of CambridgeMaster's Degree, Engineering/Industrial Management, Master's Degree, Engineering/Industrial Management at Ben-Gurion University of the Negev
English, Hebrew
Github Skills (14)
meta-learning10
stochastic-processes10
nps9
deep-learning8
machine-learning8
pytorch8
incremental-learning8
replication8
generative6
semi-supervised-learning5
supervised-learning5
generative-model4
julia4
neural-network2
Programming languages (2)
Github contributions (5)
junliangma/generativeSSL
May 2017 - Jan 2018
Contributions:96 commits in 7 months
pytorchsupervised-learningsuperviseddeep-learningsemi
Gordonjo/generativeSSL
May 2017 - Mar 2018
Contributions:133 pushes, 1 branch in 10 months
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