We are hiring a **Principal Applied Scientist** in **Redmond, WA** or **Mountain View, CA** to join our **Signals Modeling** team, part of Microsoft AI (Artificial Intelligence) Ads Engineering organization, to shape the future of advanced AI at web scale. 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, Microsoft Audience Network, Copilot, and beyond. Their work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user 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. **Responsibilities** + 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. **Qualifications** **Required Qualifications:** + Bachelor'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 Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. + 3+ years of experience in Machine learning in deep learning projects. + 3+ years of experience in recommendation algorithms or natural language processing. **Preferred Qualifications:** + Proven experience in programming and data analysis skills. + Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, or transformers. Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until April 28, 2025. \#MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .