Dylan Sam
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDylan Sam is a machine learning researcher and safety engineer with eight years of experience bridging academic rigor and applied AI, currently a Member of Technical Staff at OpenAI and a PhD student in CMU’s Machine Learning Department. His background spans research internships and applied roles at Google, AWS, Bosch, NASA JPL, and MIT, where he tackled problems from communications anomaly detection to weak supervision and unsupervised molecular clustering. He combines strong theoretical foundations—developed during research with professors at Brown and CMU—with hands-on experience deploying models in industrial settings. Based in San Francisco, Dylan focuses on language model safety and reliability, bringing a rare mix of doctoral-level research and production-facing experimentation. Colleagues describe him as equally comfortable proving theorems and shipping robust ML systems, often finding elegant, theory-backed solutions to messy real-world data problems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Math and Computer Science, Bachelor of Science - BS Math and Computer Science at Brown UniversityDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Carnegie Mellon University
Github Skills (15)
data-programming5
nlp3
weakly-supervised-learning3
wrench2
machine-learning2
benchmarking2
benchmark2
deep-learning2
sequence-labeling2
pytorch1
transfer-learning1
self-supervised-learning1
weak-supervision1
contrastive-learning1
shortcut1
Programming languages (2)
Github contributions (5)
MIT-Informatics/CensusUsage
Jun 2018 - Mar 2020
Contributions:52 commits, 48 pushes in 1 year 8 months
BatsResearch/amcl
Jun 2021 - Dec 2022
Contributions:11 commits, 5 pushes in 1 year 6 months
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