Noah Siegel
Senior Research Engineer at DeepMind
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolNoah Siegel is a Senior Research Engineer in London with a decade of experience applying deep learning and reinforcement learning to robotics, control, and AI safety. At DeepMind he focuses on data-efficient deep RL—developing advantage-weighted behavioral modeling for batch learning and enabling precise, vision-based robotic manipulation with active vision. His earlier work at AI2 fused vision and ML to interpret figures in academic papers and improved search facets for Semantic Scholar, reflecting a strong blend of research and product-minded engineering. Comfortable across Python, C++, Scala, Matlab and statistical tooling, he brings both academic rigor from a CS/Econ background and practical systems experience from industry internships. Colleagues value his ability to turn complex research ideas into reproducible, deployable solutions that reduce the need for exploration in real-world learning tasks.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Economics, Bachelor of Science (BS), Computer Science, Economics at University of Washington
Github Skills (32)
pytorch10
python10
machine-learning10
natural-language-processing10
mujoco10
nlp10
reinforcement-learning9
transformers9
simulation9
reinforcement-learning-environments9
language-model9
pdf9
bert9
tensorflow9
deep-learning9
Programming languages (4)
Github contributions (5)
allenai/figureseer
Oct 2016 - May 2020
Contributions:16 commits, 5 PRs, 7 pushes in 3 years 7 months
siegeln/TensorBox
Dec 2016 - Jun 2017
Contributions:2 pushes, 1 branch in 5 months
deep-learningobject-detectioncomputer-visiontensorflowsegmentation
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