Matthew Cooper
Senior Staff Machine Learning Engineer at Warner Bros. Discovery
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMatthew Cooper is a Senior Staff Machine Learning Engineer with 15+ years of research experience and a decade of industry practice building production recommendation and content-discovery systems. He specializes in multi-modal content analysis—video, audio, speech and text—applying human-centered ML to make search and recommendation experiences more useful and privacy-aware. Matthew has authored over 90 patents and publications on multimedia information retrieval and has moved research prototypes into deployed recommender systems at Mozilla and now Warner Bros. Discovery. His background spans signal processing, computer vision, NLP and large-scale data mining, enabling him to design generic, scalable algorithms for interactive applications. Notably, he led projects that indexed tens of thousands of lecture videos and built RF and conversational interfaces, showing a knack for blending core research with practical product delivery. Based in San Francisco, he brings deep domain expertise and a pragmatic focus on the user experiences ML can unlock.
9 years of coding experience
26 years of employment as a software developer
D.Sc. electrical engineering, D.Sc. electrical engineering at Washington University in St. Louis
English, French
Github Skills (24)
serve10
pocket9
fastapi9
thunderbird9
mozilla-firefox9
recommender-system9
cdktf9
geckodriver9
graphql8
duckduckgo8
gecko7
firefox7
mozilla7
python7
prefect6
Programming languages (2)
Github contributions (5)
lfishhead/handson-ml
Jul 2017 - Jun 2018
Contributions:3 pushes in 10 months
pythondata-sciencedeep-learningjupyter-notebookfundamentals
lfishhead/spotlight
Jan 2025 - Jan 2025
Deep recommender models using PyTorch.
Contributions:1 push in 1 day
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