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    Machine Learning Engineer - San Francisco, CA, United States - Haystack News

    Haystack News
    Haystack News San Francisco, CA, United States

    4 weeks ago

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    Description

    Job Description

    Job Description

    Haystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the world.

    BASIC QUALIFICATIONS

    • 3+ years of Experience in building large-scale recommender systems (for news feeds, shopping, image, music, video, ads, etc)
    • Track record of shipping models to real-world applications and making an impact
    • Master's degree in Computer Science, Mathematics, Electrical Engineering, Statistics, or Operation Research
    • Proficient in programming in Python. Additional programming experience in Java, JavaScript, or C++ is a plus.
    • Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow
    • Familiarity with common machine learning algorithms, such as GBDT, XGBoost, Random Forest, and Logistic Regression.
    • Experience with SQL (e.g. Postgres, snowflake, etc)

    PREFERRED QUALIFICATIONS:

    • 2+ years of applied research experience (including research work during PhD)
    • Experience in Natural Language Processing

    RESPONSIBILITIES

    • Work cross-functionally to translate business problems into ones that can be solved using machine learning.
    • Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
    • Develop machine learning models to make recommendations and influence the product roadmap.
    • Work with other team members to develop key metrics to achieve business outcomes.
    • Be a champion of AB testing. Design, execute, and analyze experiments to prove product change attribution.
    #J-18808-Ljbffr
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