Sebastian Jaszczur
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSebastian Jaszczur is a machine learning researcher and software engineer with 11 years of experience, currently a Member of Technical Staff at Anthropic focused on building safe AGI. He holds a PhD in Machine Learning from the University of Warsaw and a long history of research and engineering roles at Google, where he began as a multi-year intern and later a student researcher. Sebastian contributes to influential open-source deep learning tooling—working on transformer optimizations and sparse attention variants in Google's Trax project—which reflects strong practical skills in model architecture and performance tuning. His background spans academic rigor and production-grade implementation, and he often bridges theoretical ideas with efficient, testable code. Based in San Francisco, he brings a sustained commitment to safety-minded AI research that informs both his open-source work and industry research.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Warsaw
Polish, English
Github Skills (6)
attention-mechanism10
transformer-models10
machine-learning10
deep-learning10
jax10
python10
Programming languages (3)
Github contributions (5)
google/trax
Aug 2020 - Jul 2021
Trax — Deep Learning with Clear Code and Speed
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 63 commits, 12 comments in 11 months
Contributions summary:Sebastian implemented and refined various deep learning models within the Trax framework, focusing on layer-dropping techniques for Transformer models, and optimizing model architectures. Their work involved creating and modifying core layers, including sparse feedforward blocks and attention mechanisms. The contributions included new models such as LowRankCausalAttention and MultiplicativeCausalAttention, along with optimizations, tests, and configurations for various sparse transformers.
pytorchspeeddeep-learningnumpyreinforcement-learning
sebastianjaszczur/aplikacjawww
Jan 2015 - Aug 2016
Contributions:231 commits, 33 PRs, 117 pushes in 1 year 7 months
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