Hamid Maei

Sr. Research Scientist, Algorithm Engineering at Netflix

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Hamid Maei is a senior research scientist and algorithm engineer with 10 years of experience building large-scale ML and deep learning systems across the Bay Area, currently driving recommendation and algorithmic research at Netflix. His background spans academia (PhD in Computer Science) and industry, with roles at Cruise, Criteo, and Samsung where he led distributed training, multi-modal modeling, and production data pipelines handling hundreds of terabytes. He specializes in translating cutting-edge research into robust, production-ready solutions for prediction problems in advertising, autonomous vehicles, and media personalization. Known for combining principled research—reinforcement learning and complex decision-making—from his Stanford postdoc with hands-on engineering, he excels at scaling GPU and CPU training clusters. Colleagues value his ability to bridge deep technical rigor and product impact, often tackling the end-to-end stack from data pipelines to model deployment. Based in the San Francisco Bay Area, he brings a rare mix of academic depth and production-focused execution across high-stakes, large-scale ML systems.
code10 years of coding experience
job7 years of employment as a software developer
bookUniversity of Toronto
bookM.Phil., Machine Learning and Comp. Neuro. Science at Gatsby Unit, University College London, M.Phil., Machine Learning and Comp. Neuro. Science at Gatsby Unit, University College London at University College London, U. of London
bookPhD, Computer Science, PhD, Computer Science at University of Alberta
bookB.Sc., Applied Physics, B.Sc., Applied Physics at Sharif University of Technology
bookMA, Physics, MA, Physics at Brandeis University
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Stackoverflow

Stats
11reputation
413reached
0answers
1question
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Github Skills (18)

python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
logistic-regression9
sparse8
criteo8
feature-engineering7
parallel-processing6
tfrecord6
hdfs6

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:10 pushes, 1 branch in 5 years 4 months
criteo-research/tf-tile

Jun 2019 - Jul 2019

TF-Tile: an efficient sparse representation for real-valued data
Contributions:76 commits, 1 PR, 2 pushes in 1 month
representationsparse-representationslogistic-regressiontile-codingdeep-learning
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Hamid Maei - Sr. Research Scientist, Algorithm Engineering at Netflix