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    Kun Zhang

    Kun Zhang

    Work in google brain team on applied ML

    Angel Silicon Valley University of Souther...
    t.co
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    Experience
    Join me at Google!
    1481 Open Positions · $68k–$505k/yr
    View Jobs
    Google
    Google
    Senior Staff Software Engineer 2008 - Present (over 18 years)
    - Applied research at Google Brain: Improving Search Ranking, Youtube, Search Ads, Google Play
    - Health research at Google Brain
    - Co-founder for Google Matched Content... more product (https://lnkd.in/bPwd2cx)
    - Significantly impacted Adsense revenue by improving its targeting quality
    - Founder of premium content (tvshow / movie / music) discovery (Winner of Google OC award)
    - Improved Youtube’s video recommendation (Related Videos) and search quality
    YouTube
    YouTube
    Senior Software Enginner 2011 - 2012 (about 1 year)
    - Video discovery, recommendation, personalization, ranking, machine learning.
    Exadigm
    Exadigm
    Software Engineer 2002 - 2007 (almost 6 years)
    - Built the first linux-based wireless Point of Sale terminals and tens of applications on it.
    Java SmartCard Technologies
    Java SmartCard Technologies
    Software Engineer 2001 - 2002 (about 1 year)
    - Built Java-based SIM Card for mobile phones.
    iSearch
    iSearch
    Software Engineer 2000 - 2001 (11 months)
    - Developed internet-based recruiting system that serves fortune 500 and high-growth companies.
    Founder
     
    Employee
    Google, iSearch, Java SmartCard Technologies, Exadigm, YouTube
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
    1.2 trillion parameters Language Model
    Scaling language models with more data, compute and parameters has driven significant progress in natural language processing. For example, thanks to… · More scaling, GPT-3 was able to achieve strong results on in-context learning tasks. However, training these large dense models requires significant amounts of computing resources.
    Scalable and accurate deep learning with electronic health records
    Predictive modeling with electronic health record (EHR) data
    Artificial intelligence outperforms traditional statistical models at predicting a range of clinical outcomes from a patient's entire raw electronic… · More health record (EHR). A team led by Alvin Rajkomar and Eyal Oren from Google in Mountain View, California, USA, developed a data processing pipeline for transforming EHR files into a standardized format.
    Google Matched Content
    Lead · Matched content is a free content recommendation tool for AdSense publishers that promotes your content to your site visitors. Matched content… · More generates contextually relevant and personalized article recommendations from the pages on your website.
     
    Education
     
    About
    Skills
    Distributed Systems Machine Learning Python Java
    Locations
    Silicon Valley
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