Markus Kliegl
Research Scientist at NVIDIA
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMarkus Kliegl is a research scientist in Mountain View with a decade of experience applying deep learning and NLP at top-tier AI labs and product teams. He has moved between foundational research and product-focused roles—PhD-trained in applied and computational mathematics from Princeton, with research stints at DeepMind and Baidu USA, engineering at Apple, and now NLP research at NVIDIA. As a recent founder (Cosavant) he blends entrepreneurial grit with the rigor of academia, routinely translating cutting‑edge models into practical systems. His background spans both theoretical math and hands-on ML engineering, enabling him to bridge model development and production deployment in large-scale settings. An understated throughline is his ability to navigate highly collaborative, cross-disciplinary environments where research outcomes must meet real-world product constraints.
10 years of coding experience
7 years of employment as a software developer
B.A. Mathematics, B.A. Mathematics at Swarthmore CollegeM.S. Mathematics, M.S. Mathematics at University of ChicagoPh.D. Applied and Computational Mathematics, Ph.D. Applied and Computational Mathematics at Princeton University
English, German
Github Skills (8)
paddlepaddle10
machine-learning10
distributed-training10
deep-learning10
scalability10
python10
neural-network9
kaggle5
Programming languages (2)
Github contributions (5)
mkliegl/Paddle
Oct 2017 - Nov 2017
Contributions:21 pushes, 8 branches in 1 month
paralleldeep-learningmachine-learningdistributed-deep-learningdistributed
mkliegl/mkliegl.github.io
Feb 2016 - Apr 2016
Contributions:14 commits, 12 pushes, 5 branches in 2 months
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