Principal Applied Scientist - Auction & Bidding
Microsoft · Redmond, WA · Applied Sciences
About this role
Microsoft is hiring a principal-level Applied Scientist in the machine learning function based in Redmond, WA. The posting calls out experience with Data Structures, Machine Learning. Compensation is listed at $139,900–$274,800 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Redmond, WA
- Department
- Applied Sciences
- Posted
- Apr 29, 2026
More roles at Microsoft
Job description
from Microsoft careersThe Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied 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, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.