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Are 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 machine learning to solve real world customer problems and delight hundreds of millions of Bing 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. We engineer massively scalable streaming systems and services that form the backbone of Bing's ~$10B 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 Big Data, Distributed Systems, and Machine Learning/Deep Learning. If you would like to tackle these challenges and be part of a winning team, we are the right place for you!
Job Responsibility:
Design, implement, and ship infrastructure related features related to enable ads metrics alerting, diagnostics and monitoring
Optimize data processing pipelines and evolve architectures to maximize performance and minimize cost
Enhance flight analysis infra to optimize CTS and add new business metrics
Deep dive into data to find key insights that drive technical design and feature roadmaps
Work with partner ads and Bing teams to light-up different ads scenarios, and leverage their work
Operational support for the product to fix bugs and mitigate/resolve livesites
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience working on large‑scale big data systems such as Cosmos, Hadoop, Magnetar, or equivalent platforms
Experience building or operating streaming data pipelines (e.g., real‑time or near‑real‑time processing systems)
Experience with Apache Spark and Scala technologies
Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience