Jonathan Gordon
Research Scientist at OpenAI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Gordon is a research scientist at OpenAI in San Francisco with about a decade of experience advancing machine learning research. His work sits at the intersection of cutting-edge ML and scalable systems, building models and pipelines that move from research to production. He previously pursued PhD-level studies at the University of Cambridge, specializing in Machine Learning, Speech and Language Technologies, and holds master’s and bachelor’s degrees from Ben-Gurion University in Engineering/Industrial Management and Industrial Engineering. His career includes internships at Microsoft and Facebook AI before joining OpenAI in 2020, reflecting a track record of applying theory to large-scale AI challenges. Based in the San Francisco Bay Area, he combines rigorous academic training with hands-on industry experience to tackle real-world AI problems. He brings a broad foundation in ML, systems engineering, and SLT, making him adept at bridging research and deployment.
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 (15)
meta-learning10
stochastic-processes10
nps9
deep-learning8
machine-learning8
pytorch8
incremental-learning8
replication8
generative6
semi-supervised-learning5
supervised-learning5
generative-model4
julia4
neural-networks3
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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