Gabriel Levine

Machine Learning Engineering Manager at Spotify

Gabriel Levine is an experienced professional in data and machine learning engineering, currently serving as a Machine Learning Engineering Manager at Spotify. Prior roles include Director of Data and Machine Learning Engineering at Raytheon Technologies, Founder of Standard Impossible, and positions at United Technologies that encompassed Director of Data Engineering, Associate Director of Engineering, and Senior Software Engineer. Additionally, Gabriel has experience as a Senior Software Engineer at Magnetic. Currently pursuing a Master's degree in Applied Mathematics at Hunter College, Gabriel also completed graduate studies in the Computational and Applied Mathematics program at The Johns Hopkins University.

Location

New York, United States

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Spotify

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Spotify is an audio and media streaming service that hosts music, podcasts and tv shows. Founded in 2008, Spotify has grown to one of the largest streaming platforms in the world, offering over 70 million tracks to its 360+ million users across 170+ markets. They are headquartered in Stockholm, Sweden with offices in over a dozen countries. Spotify’s mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify helps users to discover, manage, and share music on their phone, computer or tablet by browsing through the collections of friends, artists, and celebrities, by creating a radio station, or by curating their own playlists. A leader in revenue generation for the music industry, over 1,000 artists generated over $1 million on Spotify in 2021, 450 generations more than $2 million, and 130 generated over $5 million. Spotify also paid out over $1 billion dollars to publishing rights holders (songwriters and producers) in 2021.


Headquarters

Stockholm, Sweden

Employees

10,000+

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