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    Jongmin Baek

    Staff Machine Learning Engineer

    Jongmin Baek is a Staff Machine Learning Engineer at Dropbox, where he serves as the technical lead for retrieval machine learning. He has been with the company since January 2014 and has played a significant role in optimizing various machine learning applications, including those that enhance document previews and search functionalities across Dropbox's platform.13

    Educational Background

    Baek earned his Ph.D. from Stanford University, where he focused on computational photography, computer vision, and graphics. His research interests include image processing and the mathematical aspects of imaging.14 Prior to his Ph.D., he completed undergraduate degrees in theoretical mathematics and computer science at MIT, along with a Master of Engineering degree in computer science.1

    Professional Contributions

    At Dropbox, Baek has been involved in several key projects, including the development of the Cannes project, which utilizes machine learning to optimize document preview generation, resulting in significant cost savings for the company.2 He has also led the overhaul of ranking algorithms for Dropbox's search system, enhancing its ability to index trillions of files.4

    In addition to his work at Dropbox, Baek informally advises a venture called Fairytrail, which focuses on video dating and travel.1

    Personal Interests

    Outside of his professional endeavors, Baek enjoys photography and sports, including rock climbing and soccer. He also has an interest in the philosophy of language and mathematics.1

    Highlights

    Jan 27 · dropbox.tech
    Cannes: How ML saves us $1.7M a year on document previews

    Related Questions

    What are some of Jongmin Baek's notable projects at Dropbox?
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    What is the Fairytrail venture that Jongmin Baek informally advises?
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    How does Jongmin Baek's work in machine learning impact Dropbox's features?
    Jongmin Baek
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    Jongmin Baek, photo 2
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