Jonathon Shlens
Principal Scientist at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathon Shlens is a Principal Scientist in San Francisco with over a decade of leadership driving machine learning, computer vision, and multimodal research at top labs including Google DeepMind, Apple, and Google Brain. He helped design and co-invent TensorFlow and led widely deployed vision systems, blending deep theoretical expertise from a Ph.D. in computational neuroscience with product-focused research management. Jonathon has a track record of building new research organizations and teams, from early Google Brain contributions to founding industrial research groups at Apple and now within DeepMind. His background spans neuroscience, information theory, and practical engineering—evident in early work at the Salk Institute and Pixar—making him unusually skilled at translating statistical signal-processing ideas into production-scale ML systems.
10 years of coding experience
21 years of employment as a software developer
University of California, San DiegoBachelor of Arts (B.A.) Physics and Computer Science, Bachelor of Arts (B.A.) Physics and Computer Science at Swarthmore College
Stackoverflow
56reputation
8kreached
1answer
0questions
Github Skills (10)
neural-network10
machine-learning10
deep-learning10
tensorflow10
deep-neural-networks10
python10
ml10
datasets10
numpy8
jax8
Programming languages (2)
Github contributions (5)
shlens/shlens.github.io
May 2017 - May 2025
Contributions:63 pushes, 1 branch in 8 years
tensorflow/models
Aug 2016 - Nov 2018
Models and examples built with TensorFlow
Contributions:22 commits, 30 PRs, 22 pushes in 2 years 2 months
tensorflow
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