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Principal Applied Science Manager

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Redmond

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Contract Type:
Not provided

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Salary:

163000.00 - 296400.00 USD / Year

Job Description:

Microsoft is on a mission to reinvent productivity with AI, and the Copilot for Calendar initiative is at the forefront of this transformation. We are seeking a Principal Applied Science Manager to lead, grow, and inspire the applied science team that powers the next generation of AI-driven calendar experiences. As a Principal Applied Science Manager, you will shape the foundations of Copilot for Calendar and build intelligent AI-powered experiences such as smart scheduling, conflict resolution, meeting preparation, time protection, day/week planning, and proactive calendar insights.

Job Responsibility:

  • Lead innovation with large language models (LLMs)
  • Drive the design and delivery of advanced ML/NLP models powering Copilot experiences
  • Leverage multi‑modal signals to build intelligent, context‑aware time and productivity solutions
  • Architect and evolve supervised and unsupervised models
  • Own experimentation and evaluation strategy
  • Partner closely with engineering and product teams to integrate models into production
  • Provide technical and scientific leadership in retrieval, embeddings, ranking systems, and evaluation
  • Build, mentor, and lead high‑performing applied science teams
  • Drive cross‑functional alignment and execution

Requirements:

  • Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 10+ years of relevant experience
  • OR Master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of relevant experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 3+ years of relevant experience
  • OR Equivalent experience
  • Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • Master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 10+ years of relevant experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 6+ years of relevant experience
  • OR Equivalent experience
  • 5+ years of experience producing scientific publications
  • Hands-on experience developing and deploying large language models (LLMs)
  • Experience designing, implementing, and optimizing retrieval-augmented generation (RAG) pipelines
  • Proficiency with modern LLM evaluation methods
  • Experience with MLOps best practices
  • Experience publishing at top-tier scientific venues
  • Solid ability to translate complex ML concepts into business value

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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