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    Machine Learning Engineer Senior - Ontario, Canada - Reddit Inc

    Reddit Inc
    Reddit Inc Ontario, Canada

    1 week ago

    Default job background
    Description

    As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission.

    We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities.

    This team develops and maintains the products, APIs, and infrastructure required to automate advertiser optimizations to maximize ads performance and ROAS with data driven approaches.

    The team works on building a series of products to automate and enhance advertiser's planning, buying and campaign optimization experience with Reddit ads, including auto bidding strategies, budget pacing algorithms, creative automation, traffic forecasting, bid recommendation, smart opportunities, diagnostic tools etc.

    This team owns a critical piece in the ads delivery pipeline and machine learning infrastructure.

    Some of the project highlights include:

    Driving automation and enhancement of advertiser's planning, buying and campaign optimization experience with Reddit ads, including auto bidding strategies, budget pacing algorithms, creative automation, traffic forecasting, bid recommendation, smart opportunities, diagnostic tools etc.

    As a Senior machine learning engineer in the Ads optimization and recommendation , you will research, formulate, and execute projects, and actively participate in the end-to-end implementation process.

    You will serve as a visionary in designing these models, actively participate in the end-to-end implementation process,
    Building industrial-level models for critical ML tasks with advanced modeling techniques
    Research, implement, test, and launch new algorithms and make improvements on the existing models

    Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub-models, etc.

    We give everyone a seat at the table and encourage active participation in planning for the future
    4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
    ~4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset
    ~ Retirement Savings plan with matching contributions
    Workspace benefits for your home office
    Flexible Vacation & Reddit Global Days Off
    Join us at Reddit, and help us build a community that is inclusive and empowering for everyone.
    #
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