Staff Software Engineer, Backend systems, Applied AI/ML

Staff Software Engineer, Backend Systems, Applied Ai/Ml

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 build Connect Sales, the "Operating system" for Ads sellers and businesses at Google. We are responsible for mastering the raw foundational data to run the business, enabling Sales strategy and business evolution, and providing support and tooling across all seller workflows. Within Connect Sales, the Sales Intelligence team develops a suite of high-impact analytical products. Our products not only help global sellers win more business for Google, but also enable global advertisers to succeed in their business. 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 $197,000 - $291,000 + 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.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience developing software applications using Python.
• Experience in the Java programming language.

Preferred Qualifications:

• Experience in solving real-world problems by applying Machine Learning (ML) or generative Artificial Intelligence (AI) in production applications.
• Experience caring about users and the product experience while partnering with the product team to drive product direction.
• Ability to own, set, and drive Objectives and Key Results (OKRs) for multiple projects.
• Passionate about data and making data-driven decisions.

Responsibilities:

• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Benchmark advertiser's brand awareness using search ads data and build insights and recommendations in collaboration with Youtube Ads. Work on projects such as brand reconciliation.
• Transform the search benchmarking landscape by combining audience-based data with business specific dimensions. Help unlock insights that utilize both datasets such as multi-language creative improvement.

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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.

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