Description
Innovate at the edge of machine learning and economics developing in the online stack as well as offline workflows. The team focuses on understanding and predicting how the user interacts with the ads on the search results page. The role for this team is focused on building machine learned models for predicting such events.
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.
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. 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.