Principal Research Science Manager - CoreAI

Overview

We are seeking a Principal Research Science Manager to lead the Multimodal Intelligence (MMI) science team within Microsoft's CoreAI organization. This team is responsible for advancing the state of the art in AI-powered content understanding across Content Understanding (CU), Document Intelligence (DI), and emerging multimodal and memory-powered experiences. You will drive scientific innovation across documents, images, video, audio, and enterprise content, enabling customers to build intelligent automation, knowledge extraction, and agentic workflows at scale.

As a scientific leader, you will define and execute the research strategy behind Microsoft's next generation of content understanding technologies, ranging from information extraction and multimodal reasoning to custom models, semantic enrichment, and knowledge-centric AI systems. You will partner closely with engineering, product management, and platform teams to transform scientific advances into production services that power Azure AI and Microsoft-wide experiences.

This role offers a unique opportunity to lead a high-impact science organization operating at the intersection of traditional AI, foundation models, and enterprise-scale systems. You will shape long-term technical strategy, build and develop a world-class team of scientists, influence investment decisions across the organization, and help define how customers unlock value from their enterprise data in the era of Generative AI.

This position is in-office, with a minimum of 3 days/week in office.

Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of AI-powered knowledge and automation.

* #Document Intelligence
* #Multimodal AI
* #Generative AI
* #AzureAI

Responsibilities

* Lead and Inspire:
Lead and grow a team of 7 Research Scientists, fostering technical excellence, innovation, and a culture of collaboration, inclusion, and continuous learning.

* Content Understanding

Innovation: Define and drive the scientific strategy for Content Understanding and Document Intelligence, advancing multimodal AI technologies that transform unstructured content into actionable, structured knowledge.

* Memory Technology Leadership:
Lead research and development in agent memory systems, enabling more efficient, context-aware, and capable AI agents across Microsoft and Azure AI experiences.

* Cross-Functional Impact:
Partner closely with research, engineering, product, and platform teams to align strategy, influence technical direction, and deliver differentiated AI capabilities at scale.

* Technical Vision and Execution:
Drive the translation of scientific innovation into production services, balancing long-term research investments with customer and business impact.

* Strategic

Innovation: Shape the roadmap for multimodal AI, knowledge extraction, and memory technologies, identifying emerging opportunities and positioning Microsoft at the forefront of AI-powered enterprise intelligence.

Qualifications

Required Qualifications:

* Doctorate in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience OR equivalent experience.

Other Requirements:

* Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

* Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

* Demonstrated expertise in one or more of the following areas: large language models (LLMs), document intelligence, multimodal AI, retrieval-augmented generation (RAG), agent memory…