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Principal Applied Science Manager at Microsoft
Redmond, Washington, United States -
Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Applied Science, Language Models, Data Pipelines, Coding, Compliant Training, Experimentation Agility, Leadership, Mentoring, Research, Technology Innovation, Deep Thinking, Advanced Development, Entrepreneurial Execution, Collaboration

Industry

Software Development

Description
Copilot 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.
Responsibilities
The candidate will lead the development of task-specific agents and solutions by fine-tuning LLMs on tenant data. They will also mentor and grow early career scientists within the team.