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    Senior Machine Learning Engineer - Foster City, United States - QuinStreet

    QuinStreet
    QuinStreet Foster City, United States

    1 week ago

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    Description
    Job Description

    Job Description

    Powering Performance Marketplaces in Digital Media
    QuinStreet is a pioneer in powering decentralized online

    marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks.
    Our industry leading segmentation and AI-driven

    matching technologies help consumers find better solutions and brands faster.


    They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

    Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.


    We believe in:
    The direct measurability of digital media.
    Performance marketing. (We pioneered it.)
    The advantages of technology.
    We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel.

    Job Category

    We're looking for an extremely smart Senior Algorithms Engineer to become a core member the team that creates algorithms for pricing, targeting, demand fulfillment, and fraud detection in our marketing platform.

    Responsibilities

    Use your expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting.

    Apply mathematical optimization techniques to solve network problems.
    Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield.
    Work with our Engineering and Business teams to implement scalable, reliable and useful solutions for our various business units.
    Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt your work.

    Get the satisfaction of knowing that you helped connect millions of visitors to our affiliates and internal properties to the products and services they are searching for.

    Requirements
    2+ years post Ph.
    D. experience in software development
    MS in Computer Science or related area, or relevant work experience
    Deep experience in applied machine learning, statistical learning, mathematical optimization and scalable computing
    Experience with both supervised and unsupervised learning on large datasets
    Succeed as an individual but to collaborate and strive for the success of your team
    Strong sense of ownership in everything you build
    Strong experience building production level code (Python is a plus)

    The expected salary range for this position is $170,000 USD to $200,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location.

    The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units.

    This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits.

    #LI-REMOTE

    Flexibility for occasional travel to different offices or events is essential to fulfill the duties of this role.

    This may include attending meetings, conferences, or training sessions, as well as collaborating with team members or partners in various locations.

    While travel requirements may vary, candidates should be prepared to engage in occasional travel as needed to support business objectives and foster professional relationships.

    QuinStreet is an equal opportunity employer.

    We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

    Please see QuinStreet's Employee Privacy Notice here.

    #J-18808-Ljbffr


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