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Software Engineer III, Geo Ads Targeting

GoogleMountain View, CA, USA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in C++.
  • 2 years of experience with developing large-scale infrastructure or distributed systems.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience with Machine Learning.
  • 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.

The Geo Relevance Insights and Targeting team runs Google’s Geo Targeting system from an infrastructure and modeling perspective.

Geo Targeting is part of Search Ads the text ads shown on Google Search that power the majority of Google’s business and connect millions of businesses to their customers. Specifically, we are a targeting team which means we select the ad candidates that enter the auction. Ads winning the auction show up on Google Search. Our main focus is to optimally match the location intent of users and advertisers.

In this role, you will develop aspects of Geo Targeting, including product, infrastructure and machine learning models. You will build geo-centric machine models for matching user location interest with advertiser geo intent and conduct Ads experiments, data analysis and product launches.
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 $141,000-$202,000 + 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.

Responsibilities

  • Design and develop high quality, robust and maintainable solutions on Google infrastructure.
  • Design and build systems to process advertiser data and Ads logs, analyze advertiser’s usage of geo locations.
  • Build geo-centric machine models for matching user location interest with advertiser geo intent.
  • Modify the Ads targeting back-end to integrate geo targeting innovations with the keyword targeting systems.
  • Conduct Ads experiments, data analysis and product launches.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's 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 Google's 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.
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