Gabriel Levine in

Gabriel Levine

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Machine Learning Engineering Manager at Spotify
📍 New York, New York, United States

Gabriel is a Machine Learning Engineering Manager at Spotify, where he leads teams focused on Audio ML and Computer Vision. A former musician, he is deeply interested in the intersection of technology and creativity. His background includes roles at Raytheon Technologies, where he worked on predictive maintenance for jet engines, and he holds a Masters degree from Hunter College.

Outside of his primary role, Gabriel is a lifelong musician with four records to his name. He is actively pursuing a Ph. D. in Computer Science with a research focus on generative music, blending his artistic passions with his technical expertise. He frequently posts about hiring great talent for his teams at Spotify.

He once gave a talk at the UN titled, "The Sound of Data: Transforming Data Streams Into Music. "

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Experience
18 Years
Current Role
Machine Learning Engineering Manager
Job Level
Middle
Location
New York, New York, United States
Personality Overview

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Priorities

Topics Gabriel cares about

Generative Music
This is the primary focus of his Ph. D. research and aligns with his talks on generating music with machine learning, showcasing a deep personal and professional interest.
Creativity & Technology
His profile explicitly states he is "obsessed with the intersection of technology and creativity, " which is the core theme of his career from musician to ML manager.
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Career

Work history

4-2021
Machine Learning Engineering Manager
Spotify
9-2017 - 4-2021
Director of Data + Machine Learning Engineering
Raytheon Technologies
6-2016 - 5-2017
Technical Co-Founder
Chat-Chat
8-2015 - 9-2017
Senior Software Engineer
Magnetic
2-2013 - 7-2015
Developer / Designer
Penguin Random House
In the press

Media appearances

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Education
Master's degree
Hunter College
Bachelor's degree
Connecticut College
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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