Microsoft-posted 4 days ago
Principal
Redmond, WA
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Our team focuses on optimizing ads performance for all advertisers in Microsoft Advertising by bidding on their behalf into real time auctions across our marketplaces. This is done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, engineers and scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, and general operation research. We build and develop both online stacks as well as offline workflows to support our algorithm. At its core, our team utilizes signals of user and advertiser intent as well as auction’s characteristic to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts billions of dollars in revenue annually.

  • Drive the end-to-end design and implementation of infrastructure requirements for supporting the next-generation bidding platform and algorithms.
  • Utilize solid design and development expertise in large-scale distributed systems and cloud computing platforms.
  • Develop high-performance data processing infrastructure.
  • Work with machine learning training and inference pipelines.
  • Solid background in large-scale distributed systems.
  • Experience with cloud computing platforms.
  • Expertise in high-performance data processing infrastructure.
  • Familiarity with machine learning training and inference pipelines.
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