New 
Principal Applied Science Manager
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 23, 2025 | |
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OverviewCopilot Tuning is a new product that aims to fine-tune LLMs (Large Language Model) on tenant data, enabling task-specific agents and solutions. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM experience in the enterprise.We are seeking a Principal Applied Science Manager with research and coding experience and the desire to pursue the cutting edge in model and agent development that pushes technological boundaries. We are looking for candidates with interest and experience in language models, data pipelines, and coding experience, with a passion for both coding and science. Knowledge on compliant training and data pipelines, applied science experimentation agility, and leadership is also desired.We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting. In this position, the candidate will also be expected to mentor and grow early in career scientists. 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.
ResponsibilitiesLead and manage a team of applied scientists on tuning LLMs for tenant-specific solutions in the M365 Copilot ecosystem.Engage directly with customers to understand their unique needs and challenges, translating customer insights into actionable requirements that guide the development and customization of LLM-based solutions within the M365 Copilot ecosystem.Mentor and support early-career scientists, fostering a collaborative and innovative environment that encourages technical growth and experimentation.Oversee and contribute to research initiatives, including designing and executing applied science experiments to push the boundaries of LLM capabilities.Collaborate closely with cross-functional teams to deliver task-specific agents and solutions, maintaining agility in both coding and scientific development processes. | |