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    Sr. Machine Learning Engineer, Ads Marketplace - San Francisco, CA, United States - Pinterest

    Pinterest
    Pinterest San Francisco, CA, United States

    2 weeks ago

    Default job background
    Description
    Millions of people across the world come to Pinterest to find new ideas every day. Our mission is to help those people find their inspiration and create a life they love.

    You'll grow as a person and leader in your field, all the while helpingPinnersmake their lives better in the positive corner of the internet.

    Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working.

    In this role, you will build systems that improve the ads delivery funnel, design experiments that shape the utility function, auction mechanism design, ad allocation and grow business insights through analysis of the marketplace dynamics.

    You will work closely with product managers, data scientists, designers and engineers across the company to deliver pinner facing ads products end-to-end.

    In short, this is a unique position, where you'll get the freedom to work to bring together pinners and partners in this unique marketplace and have a material impact on the business.

    Apply state-of-art machine learning techniques to improve ads format triggering, ads ranking and selection.

    Work with designers, product managers, data scientists to design and deliver end-to-end pinner facing ads products that directly move the bottom line for Pinterest.

    MS or PhD degree in Computer Science, Machine Learning or related field
    ~Strong software engineering, mathematical and analytical skills
    ~ Hands-on experience with model offline development and online serving
    ~ Hands-on experience with large-scale online e-commerce systems is preferred
    ~ This position is not eligible for relocation assistance.
    #Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

    Our Commitment to Diversity:

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law.

    We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notifyfor support.
    #
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