Staff Software Engineer, YouTube Ads Personalization Infrastructure

Google LLC
  • Mountain View, CA
    8 days ago

    Job Description

    Staff Software Engineer, YouTube Ads Personalization Infrastructure

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    corporate_fareYouTubeplaceMountain View, CA, USA

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    Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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    XIn most instances, this position requires in-person interviews as part of the hiring process.

    Minimum qualifications:

    • Bachelors degree or equivalent practical experience.

    • 8 years of experience programming in C++.

    • 5 years of experience testing, and launching software products.

    • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

    • 3 years of experience with software design and architecture.

    Preferred qualifications:

    • Master's degree or PhD in Engineering, Computer Science, or a related technical field.

    • 8 years of experience with data structures and algorithms.

    • 3 years of experience in a technical leadership role leading project teams and setting technical direction.

    • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

    About the job

    Googles 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. Were 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.

    Ads Personalization and User Modeling Infra (A1 infra) is a full end-to-end user modeling platform used by all Ads serving systems. The user profiles and features generated via A1 infra by thousands of profilers built by various clients feed directly into ad serving for personalization, model training and model serving. Improving ads personalization and relevance is one of the highest priority work streams across YouTube Ads, Discover, GMail, Search Ads and Display Ads.

    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.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Provide technical leadership on high-impact projects.

    • Influence and coach a distributed team of engineers.

    • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.

    • Manage project priorities, deadlines, and deliverables.

    • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

    Numbers & Facts

    LocationMountain View, CA

    Skills

    • Ad Servingunmatched
    • Advertisingunmatched
    • Algorithmsunmatched
    • Artificial Intelligence (AI) Natural Languageunmatched
    • Business Growthunmatched
    • C++ Programming Languageunmatched
    • Coachingunmatched
    • Computer Scienceunmatched
    • Computer Skillsunmatched
    • Computer Storage Hardwareunmatched
    • Cross-Functionalunmatched
    • Data Storageunmatched
    • Data Structuresunmatched
    • Distributed Computingunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Geneticsunmatched
    • Hardware Architectureunmatched
    • Information Retrievalunmatched
    • Information/Data Security (InfoSec)unmatched
    • Internet Searchunmatched
    • Large-Scale Systemsunmatched
    • Leadershipunmatched
    • Matrix Managementunmatched
    • Natural Language Processing (NLP)unmatched
    • Network Designunmatched
    • Product/Service Launchunmatched
    • Project/Program Managementunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Requirementsunmatched
    • Small Businessunmatched
    • Software Architectureunmatched
    • Software Architecture Designunmatched
    • Software Engineeringunmatched
    • Stock Purchase Plansunmatched
    • Team Lead/Managerunmatched
    • Technical Leadershipunmatched
    • Test Plan/Scheduleunmatched
    • Testingunmatched
    • Time Managementunmatched
    • User Interface Designunmatched
    • YouTubeunmatched

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