Rylan Schaeffer

AI Research Scientist at Meta

Palo Alto, California, United States
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Summary

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Senior
🎓
Top School
Rylan Schaeffer is an AI research scientist with 11 years of experience bridging cutting-edge research and industry impact, currently at Meta after research roles at Google DeepMind and multiple internships at Google and Meta. He’s a Stanford PhD student (on leave) and has a strong academic foundation with degrees from Stanford, Harvard, UCL, and UC Davis, blending computer science, computational engineering, and cognitive neuroscience. Rylan’s work spans foundational AI research and applied GenAI efforts, informed by prior roles in ML engineering and data science at Uber and hands-on deep learning internships. He co-founded a venture at Harvard Innovation Labs and has a track record mentoring and teaching across universities, reflecting an ability to translate research into products and people-focused outcomes. Based in Palo Alto, he’s known for moving fluidly between lab and production settings and for preferring direct introductions—if he doesn’t know you, he asks that you introduce yourself in connection requests.
code11 years of coding experience
job6 years of employment as a software developer
bookBiomedical Engineering Entrepreneurial Academy, Biomedical Engineering Entrepreneurial Academy at University of California, Davis - Graduate School of Management
bookUniversity College London
bookBachelor’s Degree Computer Science Engineering, Bachelor’s Degree Computer Science Engineering at University of California, Davis
bookMaster of Science - MS Computational Science Engineering, Master of Science - MS Computational Science Engineering at Harvard University
bookMountain View High School
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
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Stackoverflow

Stats
2,215reputation
231kreached
9answers
113questions
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Github Skills (200)

language-model10
stylegan10
hyperparameter-optimization10
svg10
llm-inference10
neural-network10
computer-vision10
evaluation-framework10
nlp10
data-science10
llama10
visualization10
llm10
keras10
deep-neural-networks10

Programming languages (16)

C++CTeXGoHTMLJupyter NotebookMATLABTypeScript

Github contributions (5)

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Code for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience
Contributions:241 commits, 2 pushes in 8 months
deep-learning
int-brain-lab/ann-rnns

Feb 2020 - Mar 2021

Train ANN-RNNs to perform the IBL task and then dissect them.
Contributions:93 commits, 2 PRs, 9 pushes in 1 year 1 month
anndeep-learningibltensorflowkeras
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