Adam Polyak

AI Research Engineer at Meta

Israel
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Summary

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Rockstar
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Top School
Adam Polyak is an AI research engineer with 12 years of experience building and optimizing machine learning systems, currently at Meta in Israel. He combines an academic background (MSc in Computer Science, TA for deep learning at Tel Aviv University) with hands-on production work, from IDF software projects to research internships at Facebook. His contributions to the archived Facebook loop repo show a practical focus on speech generation: improving phoneme extraction, modularizing generation to remove heavy dependencies, and enabling single-speaker models like Blizzard 2011. Known for pragmatic optimizations and clean refactors, he bridges research and engineering to make experimental models more reliable and deployable.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Tel Aviv University
bookBachelor of Science (BSc), Applied Mathematics and Computer Science, Bachelor of Science (BSc), Applied Mathematics and Computer Science at Bar-Ilan University
languagesEnglish, Hebrew
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Github Skills (10)

pytorch10
machine-learning10
speech-synthesis10
trainings10
python10
modeling10
nlp9
continuous-deployment8
ml-deployment8
data-science8

Programming languages (3)

LuaPythonCuda

Github contributions (5)

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facebookarchive/loop

Jul 2017 - Jan 2019

A method to generate speech across multiple speakers
Role in this project:
userML Engineer
Contributions:18 commits, 1 PR, 14 pushes in 1 year 5 months
Contributions summary:Adam primarily contributed to the development and refinement of a speech generation system. Their work included making the Visdom visualization optional, improving phoneme extraction, and adding support for single-speaker models, specifically the Blizzard 2011 model. Further contributions involved addressing dependencies, refactoring code to remove dependencies during the generation process and fixing masked loss, demonstrating a focus on optimization and modularity.
methodspeech-recognitionspeakersspeechtts
ghostcow/deepmask

Jun 2014 - Oct 2015

Contributions:154 commits in 1 year 3 months
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Adam Polyak - AI Research Engineer at Meta