Principal Researcher, Office Product Group

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $142,800–$274,800 / yr
Posted: 1 day ago
Closes: Dec 23, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k

This role $209k

$127k most similar roles pay here $291k

This role pays more than 56% of similar roles. Most pay $177,250–$231,000 — the shaded band above. At the midpoint, this role pays about $209k versus about $204k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 636 roles with salary data.

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At a glance

TL;DR · Principal Researcher, Office Product Group

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As a Principal Researcher in the Office Product Group at Microsoft, you will join an innovative team focused on integrating advanced AI capabilities into Microsoft 365 applications. Your role involves designing and developing frameworks for coordinating multiple AI components, optimizing code generation techniques for low-resource environments, and fine-tuning large-scale machine learning models to ensure they are reliable and ready for production use. You will also contribute to the evaluation of these systems through real-world user workflows and collaborate closely with engineering and product management teams to translate research into scalable features that prioritize user experience and responsible AI practices. This position requires expertise in AI, machine learning, and a strong background in computer science or related fields, with extensive experience in developing and deploying large-scale models at the enterprise level.

Skills

Python C++ Java TensorFlow PyTorch Kubernetes Docker CI/CD Azure AWS PostgreSQL MongoDB Git GitHub Jupyter Notebook Swagger RESTful APIs JSON YAML Scikit-learn

What you'll do

Support the development of frameworks for coordinating AI components.
Improve code generation techniques for efficient model adaptation in low-resource settings.
Implement and refine fine-tuning methods to enhance large-scale ML models' reliability.
Design evaluation strategies reflecting real-world Microsoft 365 user workflows.
Translate research ideas into scalable, production-ready features with a focus on UX.

What we're looking for

Master's degree in a relevant field and at least 9 years of related experience.
Doctorate in a relevant field and at least 6 years of related experience.
Experience in developing frameworks for AI component coordination and communication.
Expertise in efficient code generation and model adaptation techniques.
Proficiency in fine-tuning large-scale machine learning models for production use.
Ability to design evaluation strategies reflecting real-world user workflows.
Strong collaboration skills with engineering and product management teams.

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