Marwan Mattar

Vice President Of Artificial Intelligence at Sigma

San Francisco, California, United States
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Summary

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Marwan Mattar is a VP of Artificial Intelligence with eight years of industry experience leading AI/ML teams and products across Sigma, Scale AI, Unity, and EA. He builds end-to-end ML systems—from recommendation engines and anomaly detection to reinforcement learning agents and foundation model training/deployment infrastructure—bridging research, engineering, and product. A PhD from UMass Amherst, he holds 15 patents, has published academic papers, and organized workshops at AAAI and NeurIPS, signaling deep ties to both research and applied ML. He founded Mattar Labs to advise VCs and startups on technical strategy and due diligence, translating complex AI capabilities into investment and product decisions. Known for shipping open-source tooling like Unity’s ML-Agents and for leading ML platform efforts at Scale that powered LLM training and inference, he thrives at the intersection of developer-facing infrastructure and product innovation. Based in San Francisco, he combines academic rigor with a proven track record of turning cutting-edge ML into production-ready systems.
code8 years of coding experience
job22 years of employment as a software developer
bookPhD Computer Science, PhD Computer Science at University of Massachusetts Amherst
languagesArabic, English
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Github Skills (16)

robot10
imitation-learning10
deep-reinforcement-learning10
machine-learning10
ml-agents10
deep-learning10
reinforcement-learning10
unity3d10
simulation9
robotics-simulation9
robotics8
q-learning6
algorithm4
python2
ai1

Programming languages (2)

C#Python

Github contributions (5)

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Unity-Technologies/ml-agents

Jan 2018 - Nov 2021

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Contributions:35 reviews, 139 PRs, 233 pushes in 3 years 11 months
deep-reinforcement-learningimitation-learningmachine-learningml-agentsreinforcement-learning
Contributions:4 PRs, 5 pushes, 3 branches in 1 month
manipulationrobot-simulationroboticsphysics-simulationrobotics-development
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