Microsoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with the state-of-the-art online advertising platform and service and Microsoft's advertising team is at the core of this effort. 

We are hiring for multiple Applied Scientist II roles on Microsoft Advertising for the following teams in Mountain View, CA and Redmond, WA.

Signals Modeling Team:

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction.

This team builds machine learning models for predicting such events. The team looks at all aspects of modeling including training data, features, the actual model (neural nets, linear models, decision trees etc.) and offline and online evaluation of those models.

Engineers and scientists on our team work at the edge of machine learning and economics developing in the online stack as well as offline workflows. At its core, our team utilizes signals of user and advertiser intent to determine which ads are allocated and at what price.

Demand Intelligence Team:

This team works on the demand optimization initiatives working on various problems including recommendation algorithms and platform components, agentic workflows for advertisers, forecasting solutions for insights and various other initiatives.

You will:

• play a key role in driving algorithmic improvements to online and offline systems, developing, and delivering robust and scalable solutions, making direct impacts on both users and advertisers experience, and continually increasing the revenue for Microsoft Ads.
• Work on the demand optimization initiatives working on various problems including recommendation algorithms and platform components, agentic workflows for advertisers, forecasting solutions for insights and various other initiatives.
• play a key role in driving algorithmic improvements to online and offline systems, developing, and delivering robust and scalable solutions, making direct impacts on both users and advertisers experience, and continually increasing the revenue for Microsoft Ads. They will heavily use the recent advances in GenAI to harness huge volume of data for solving many of the above-mentioned problems and leverage the evolving technologies.

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