Signals Modeling team:
(This role is available in Mountain View, CA, Redmond, WA or New York, NY.)
The 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.
The role for this team is focused on building machine learned 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 role is available in Redmond, WA.)
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.
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.