Zack Zukowski
Research Engineer, Music at Dadabots
Sacramento, California, United States
Summary
👤
Senior🎓
Top SchoolZack Zukowski is a research engineer specializing in music and machine learning with a decade of experience building generative audio systems and music tech products. Currently at Stability AI and co-running Dadabots, he pioneers raw-audio neural networks that power always-on generative music streams and have helped define AI-driven sound art. His background spans applied R&D and engineering leadership—from directing Pex’s R&D data lab to shipping a mobile DAW and training RNN/LSTM/GRU models for music recommendation and retrieval. A multi-instrumentalist with a Summa Cum Laude degree in Music Technology, he blends deep domain knowledge of music production with scalable ML and data-pipeline engineering. Notably, he combines live audio engineering experience with production-grade ML work, allowing him to move seamlessly from studio acoustics to model design and deployment.
10 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, Music Technology, Summa Cum Laude, Bachelor’s Degree, Music Technology, Summa Cum Laude at Northeastern University
English
Github Skills (16)
audio9
music7
generative7
generative-model7
pytorch6
deep-learning6
paper5
transformer4
waveform2
javascript2
speech2
synthesis1
speech-recognition1
speech-synthesis1
tensorflow1
Programming languages (1)
Github contributions (5)
ZVK/jukebox
Jun 2020 - Mar 2021
Code for "Jukebox: A Generative Model for Music"
Contributions:54 commits, 41 pushes in 8 months
pytorchgenerative-modelgenerativejukeboxmusic
ZVK/talking_heads
Nov 2019 - Feb 2020
Contributions:57 commits, 28 pushes in 3 months
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