New 
Applied Scientist II and Senior Applied Scientist (Multiple Openings) - M365
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 08, 2025 | |
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OverviewThe Applied Scientist II and Senior Applied Scientist (Multiple Openings) within M365 Core are tailored for individuals passionate about advancing artificial intelligence, machine learning, and model optimization in the context of Microsoft 365's core services. As part of an agile and innovative team, you will contribute directly to the development and fine-tuning of large language models (LLMs) and task-specific agents that power intelligent features across the M365 ecosystem, such as Copilot, Outlook, Teams, SharePoint, and OneDrive. This role offers the opportunity to collaborate with engineers and researchers focused on deep learning and natural language processing, enhancing productivity, collaboration, and security for enterprise customers. You will thrive in a research-driven environment that fosters technology innovation, empowering every person and organization using M365 Core to achieve more. This position provides a supportive environment for those who excel in deep thinking, advanced development, and fast-paced entrepreneurial execution. If you are passionate about artificial intelligence, deep learning, and model optimization, and are eager to help shape the next generation of AI for enterprise solutions, we invite you to join our team and make a meaningful impact. 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.
ResponsibilitiesConduct research and development to push the boundaries of model training, evaluation, and quality assessment for AI solutions. Post-train LLMs for enterprise scenarios M365 Copilot and on tenant data to enable task-specific agents and solutions within the enterprise ecosystemCollaborate with engineers and researchers to advance deep learning, natural language processing (NLP), multimodal models, and model optimization techniques. Measure, analyze, and report on model performance, quality, and impact using predictive analytics and statistical methodologies. Contribute to a culture of inclusion, respect, integrity, and accountability while fostering innovation and growth across teams. | |