Charlie Snell
Research Scientist at Cursor
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolCharlie Snell is a research scientist and PhD student at UC Berkeley with 12 years of engineering and research experience focused on ML, NLP, and reinforcement learning. He has contributed to academic and industrial research at BAIR, ML@B, and Google DeepMind, and now applies that expertise at Cursor on cutting-edge ML problems. Comfortable moving between code and theory, Charlie has tackled interpretability of attention in NLP and production-scale systems at Amazon S3 and Zelis, blending rigorous experimentation with practical engineering. Known for enjoying hard, creative problems, he brings a researcher’s curiosity to real-world ML deployments and a track record of cross-disciplinary collaboration.
11 years of coding experience
4 years of employment as a software developer
Computer Science Computer Science, Computer Science Computer Science at University of California, Berkeley
Github Skills (72)
transformers10
language-model10
python10
flax10
deep-learning10
transformer10
gpt10
nlp10
jax10
natural-language-understanding10
seq2seq10
tensorflow10
google10
natural-language-processing10
cuda10
Programming languages (4)
Github contributions (5)
Sea-Snell/AttentionDynamics
Nov 2020 - May 2021
Contributions:87 commits, 9 pushes in 6 months
Sea-Snell/jax_v_pytorch
Jun 2022 - Jul 2022
Contributions:127 commits, 112 pushes, 4 branches in 1 month
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