Christopher Jacoby
Senior Research Engineer at Spotify
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolChristopher Jacoby is a Senior Research Engineer with 13 years of experience advancing audio AI and deploying production-ready machine learning for music and healthcare applications. He has led end-to-end ML development at Antares (Auto-Tune) and now drives audio research at Spotify, specializing in deep learning systems for live and studio audio processing. Experienced across the full stack—from data collection and cloud pipelines to DSP-informed neural models—he excels at translating research prototypes into shipping products like Vocal Prep and Vocal De-Esser. Christopher is a hands-on people leader who mentors teams, blends agile practices with creative R&D, and institutionalizes reproducible research workflows. His background in music technology (MM) and electrical engineering gives him a rare combination of domain knowledge and engineering rigor, enabling practical innovations in audio perception and production. Colleagues often note his knack for making complex signal-processing research accessible to product teams and stakeholders.
13 years of coding experience
15 years of employment as a software developer
Master of Music (MM), Music Technology, Master of Music (MM), Music Technology at New York UniversityBS, Electrical & Computer Engineering, BS, Electrical & Computer Engineering at Lafayette College
English
Github Skills (24)
stochastic10
sampling10
iterative10
stream10
convolutional-neural-networks9
mir9
harmonic9
python8
music8
specification8
machine-learning8
sox8
json6
gpx5
deep-learning5
Programming languages (3)
Github contributions (5)
cjacoby/christopherjacoby.com
Jan 2020 - Mar 2025
Personal Website
Contributions:1 PR, 21 pushes, 10 branches in 5 years 3 months
react
ejhumphrey/harmonic-cnn
Feb 2016 - Sep 2016
Contributions:316 commits, 27 PRs, 57 pushes in 6 months
exploitingdeep-learningcorrelationsconvolutionalneural-networks
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