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    Senior Software Engineer, Search Ads Auction Mechanisms

    Google
    Apply Now

    Job Details

    Location
    Mountain View, California, United States
    Posted
    2 days ago
    Salary
    USD 166,000 - 244,000

    Job Description

    MINIMUM QUALIFICATIONS:

    • Bachelor’s degree or equivalent practical experience.
    • 5 years of experience with software development in C++.
    • 3 years of experience testing, maintaining, or launching software products,

    and 1 year of experience with software design and architecture.

    • Experience in Auction and Mechanism design in industry or in an academic

    setting.

    PREFERRED QUALIFICATIONS:

    • Master's degree or PhD in Computer Science or related technical field.
    • 5 years of experience with data structures/algorithms.
    • 1 year of experience in a technical leadership role.
    • Experience developing accessible technologies.

    ABOUT THE JOB:

    Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from

    all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project

    critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

    Our team is tasked with optimizing value for the advertiser, users and Google through mechanism innovations. We collaborate closely with auction research, Ads prediction stack modeling, bidding, Ads UI and aiming to optimize Long-Term Business for Google. Our mode of operation is a mix between research scientists,

    data scientists and software engineers.

    In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

    Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as

    analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

    The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant

    education or training. Your recruiter can share more about the specific salary:

    range for your preferred location during the hiring process.

    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more

    about benefits at Google [https://careers.google.com/benefits/].:

    RESPONSIBILITIES:

    • Participate in, or lead design reviews with peers and stakeholders to decide

    amongst available technologies.

    • Review code developed by other developers and provide feedback to ensure best

    practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

    • Triage product or system issues and debug/track/resolve by analyzing the

    sources of issues and the impact on hardware, network, or service operations and quality.

    • Design experiments to evaluate hypotheses and tease out small-but-crucial

    effects in improving user/advertiser value.

    • Write and test both code and documentations to evaluate new auction

    mechanisms and improve existing ones.

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