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    Machine Learning Engineer - Toronto, ON, Canada - Pinterest

    Pinterest
    Pinterest Toronto, ON, Canada

    1 week 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 helping Pinners make 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.

    With more than 400 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.

    At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

    Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
    Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
    2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
    ~ End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., S. or PhD in Machine Learning or related areas
    ~ Expertise in scalable realtime systems that process stream data

    ~ Relocation Statement:

    ~ This position is not eligible for relocation assistance


    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.
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