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Staff Software Engineer, App Ads, Data and Measurement - Singapore
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Job Description
Product area Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges.
Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Job description 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 Googleβs 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.
Qualifications
Job responsibilities Define and drive the multi-quarter technical strategy and architecture for high-throughput, low-latency advertising serving stacks and petabyte-scale data and measurement pipelines. Design, develop, test, deploy, and enhance large-scale back-end software solutions, leveraging distributed data processing and storage systems. Lead cross-functional technical initiatives across privacy-preservin
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