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    Principal Machine Learning Engineer - Santa Clara, CA, United States - Karkidi

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    Description

    com , we process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals.

    We aim to radically simplify home buying/selling and help more people achieve the American dream on our website and mobile apps.

    We work hard, play hard, and recognize achievement – rewarding passion for innovation, creativity, and quality. If you enjoy working in a fast-paced, dynamic, cutting-edge work environment and desire to make a meaningful contribution to the business, then make the move

    Lead collaboration with data scientists, product managers and other cross-functional teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.

    Architect best in class solutions to maintain the machine learning lifecycle and drive ML Ops (monitor inference performance, scalability, availability etc)

    Develop predictive, explanatory models and machine learning algorithms that gracefully scale to increasing complexity as well as drive revenue growth, customer retention and support strategic decision making.

    Drive design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.

    Take ownership and responsibility for team practices and processes and their continuous improvement.
    We balance creativity and innovation on a foundation of in-person collaboration. Degree preferred in computer science, statistics, operations research or related fields.
    ~ BS and 12+ years/MS and 7+ years of working on complex, scalable backend systems.
    ~5+ years of industry experience deploying Machine Learning models to production at scale.
    ~ Expertise in SQL and Python
    ~ Knowledgeable of core CS concepts such as: structured and unstructured data, data management and querying, common data structures and algorithms
    ~ Experience with ML deployment APIs
    ~ Building your career? People are our foundation—the core that drives us passionately forward. People are our foundation—the core that drives us passionately forward.


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