Principal Applied Sciences Manager

11/21/2025

You will lead the development and implementation of new or modified tools while managing a team of Applied Science and Software Engineering resources. Your role includes building collaborative relationships with product and business groups to deliver AI-driven solutions and contributing to research outputs.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

Bringing the State of the Art to Products: You will review business and product requirements, incorporate state-of-the art research, and identify complex or difficult problems and develop strategies to solve them. You will lead the development and implementation of new or modified tools and hold team members accountable for developing deep subject matter expertise. Build collaborative relationships with product and business groups to deliver AI-driven impact: Manage the deliver of real world solutions leading a team of Applied Science and Software Engineering resources. Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps. Contribute to papers, patents, and conference presentations. Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts. Expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact. 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). 1+ year(s) of people management experience. 5+ years of experience of coding or programming. These requirements include but are not limited to the following specialized security screenings: 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 9+ years related experience (e.g., statistics, predictive analytics, research).

Key Skills

Applied ScienceSoftware EngineeringAI SolutionsDeep LearningGenerative AINLPMulti-Modal ModelsMLOpsAIOpsStatisticsPredictive AnalyticsResearchPrototypingDebuggingCollaborationProblem Solving