Principal Applied Scientist
![]() | |
![]() United States, Washington, Redmond | |
![]() | |
OverviewWe're hiring Principal Applied Scientists with expertise in areas such as Deep Learning, Ad Tech, Ads Recommendation Systems, Sequential Modeling and Large Language Models (LLMs). Join the Signals Modeling team, part of Microsoft AI Ads Engineering, to shape the future of advanced AI at web scale. This role is available in either Redmond, WA or Mountain View, CA. In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Bing Users, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad retrieval, ad relevance and optimize both user and advertiser experiences.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.
ResponsibilitiesDevelop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions, ad retrieval and relevance across Microsoft Ads and Copilot.Design scalable algorithms for online and offline systems, delivering innovative solutions for ad selection, matching quality, and ad generation.Drive experimentation through A/B testing and offline validation to evaluate model performance.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. |