Sainbayar Sukhbaatar
Research Scientist at Meta
United States
Summary
🤩
Rockstar🎓
Top SchoolSainbayar Sukhbaatar is a research scientist with 11 years of experience applying deep learning across vision, language understanding, and reinforcement learning, currently working at Meta. He holds a PhD in Computer Science from NYU and a technical foundation from The University of Tokyo, combining rigorous theory with practical system-building. His trajectory includes research internships at DeepMind and multiple roles at Facebook focused on multi-agent communication, RL, noisy labels, and memory networks, reflecting deep expertise in emergent behaviors and learning dynamics. Early software engineering work—ranging from an ASP.NET real-estate application to a deep memory profiler for Chromium at Google—gives him a rare blend of production engineering and cutting-edge research. Colleagues know him for bridging principled ML research with deployable solutions and for pursuing cross-disciplinary problems that connect perception, language, and decision-making.
10 years of coding experience
5 years of employment as a software developer
University of TokyoDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at New York University
English, Japanese, Mongolian, French
Github Skills (20)
self-attention10
sequential10
nlp8
datasets8
pytorch7
machine-learning7
deep-learning7
arxiv7
visual-recognition7
transformer6
transformers6
neural-network5
allennlp5
multi-agent5
agent4
Programming languages (2)
Github contributions (5)
tesatory/tesatory.github.io
Oct 2015 - Jul 2024
Contributions:41 pushes in 8 years 10 months
facebookresearch/adaptive-span
Jul 2019 - Apr 2020
Transformer training code for sequential tasks
Contributions:16 commits, 2 PRs, 6 pushes in 9 months
pytorchtransformerstrainingtransformerself-attention
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