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Software Engineer II

Microsoft
United States, California, Mountain View
May 10, 2025
OverviewAre you interested in building the next state-of-the-art AI infrastructure to fuel Microsoft's rapidly growing multi-billion online advertiser business? Are you passionate about using big data and AI solutions to solve real world customer problems and delight hundreds of millions of Microsoft users? How about working in a fun and fast paced environment where engineers are empowered to innovate? If so, please come join our Microsoft Ads team in Mountain View, California! We engineer massively scalable low latency data processing systems and services that form the backbone of Microsoft Ad's multi-billion monetization engine, covering all aspects of online advertising such as advertiser facing demand ingestion/management/insights, preparation and transformation of huge volume of advertising data to be served, and performing low latency and high throughput online serving. Tough competition in the industry has created enormous opportunities as well as technical challenges in AI, Big Data, and Distributed Systems. If you would like to tackle these challenges and be part of a winning team, we are the right place for you! Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesAs a Software Engineer II:Works with appropriate stakeholders to determine user requirements for a set of features.Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.Creates and implements code for a product, service, or feature, reusing code as applicable.Contributes to efforts to break down larger work items into smaller work items and provides estimation.Contributes to the Ads infrastructure in the following areas: data ingestion/validation/processing, entity conflation, image processing, web document understanding, feature extraction, and index generationConduct feature experiments to understand user behavior/marketplace impact and ship features to production.
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