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Join the Signals Modeling team, part of Microsoft AI Ads Engineering, to shape the future of advanced AI at web scale. 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, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.
Job Responsibility:
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 ads selection, ad generation and ad relevance
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
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Proven experience in programming and data analysis skills
Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM
5+ years of experience in developing and deploying large-scale machine learning models
Nice to have:
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)