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Gabriel Levine

Machine Learning Engineering Manager at Spotify

Gabriel Levine is a Machine Learning Engineering Manager at Spotify, a position he has held since July 2022.1 With a strong background in data science and engineering, Gabriel has extensive experience in the tech industry, particularly in machine learning and data engineering roles.

Career Highlights

  • Current Role: Machine Learning Engineering Manager at Spotify (July 2022 - Present)1
  • Previous Positions:
    • Engineering Manager at Spotify (April 2021 - July 2022)1
    • Director of Data + Machine Learning Engineering at Raytheon Technologies (April 2020 - April 2021)1
    • Founder of Standard Impossible (April 2019 - March 2021)1
    • Various roles at United Technologies, including Director of Data Engineering and Associate Director of Engineering1

Education

Gabriel has a strong academic background, including:

  • Master's degree in Applied Mathematics from Hunter College1
  • Graduate studies in Computational and Applied Mathematics at The Johns Hopkins University1
  • Bachelor's degree from Connecticut College1

Skills and Expertise

Gabriel specializes in machine learning, data engineering, and software development. He has experience with technologies such as TensorFlow and has completed courses in Neural Networks and Deep Learning.1

Additional Information

Gabriel has been involved in various tech projects and startups throughout his career, demonstrating his passion for innovation in the field of machine learning and data science.1 He is actively involved in the tech community, having spoken at events like PyGotham on topics related to data and machine learning in music.1

Highlights

Jan 1 · seedfund.nsf.gov
Staff bios - NSF SBIR - National Science Foundation

Related Questions

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Gabriel Levine
Gabriel Levine, photo 1
Gabriel Levine, photo 2
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Location

New York, New York, United States