Senior Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 24, 2025 | |
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OverviewMicrosoft 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. In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user experiences.We are hiring for multiple Senior Applied Scientist roles on Microsoft Advertising team for the following teams: Signals Modeling team: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. This role is available in Mountain View, CA, Redmond, WA or New York, NY. 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. This role is available in Redmond, WA.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.
ResponsibilitiesAs a Senior Applied Scientist on Signals Modeling Team you will be responsible to:Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.As a Senior Applied Scientist on Demand Intelligence team you will be responsible for:Developing Recommendation algorithms in Bid/Budgets/Keywords etc.Selection and Ranking components for Campaign recommendation platform.Agentic workflows for campaign optimization.Forecasting solutionsDemand analytical toolsExperimentation infrastructure, dashboard, live marketplace monitoring, and diagnosis | |