We’re hiring a Senior Applied Scientist with expertise in natural language processing (NLP), deep learning, and Ads recommender systems in Redmond, WA or Mountain View, CA. In this role, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond. You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences. This role is part of Microsoft Artificial Intelligence (MAI)-Ads Engineering and is responsible for the end-to-end relevance problem for our ads and shopping products.

Own high-impact and open-ended relevance problem areas across Product Ads and Shopping including providing strategic direction to solve problems and applying deep subject matter knowledge to support business impact.

Drive algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including latest LLM models, to deliver clear and measurable product impact

Exercise solid technical judgment on metrics, evaluation strategies, and tradeoffs optimizing for overall product ROI rather than isolated metrics.

Act as a technical leader and mentor, providing design reviews and documenting to share modeling guidance and evaluation best practices for other applied scientists to promote innovation.

Collaborate deeply across disciplines (Engineering, PM, Research, Data Science), translating scientific intent into production-ready systems and constraints.

Operate with high independence and accountability, anticipating risks, planning for unknowns, and requiring minimal oversight to deliver sustained impact at scale.

Use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.