Principal Applied Scientist
- Pay
- $142,800 – $274,800 per year
- Location
- United States
- Job type
- Full-time
- Level
- Director
- Experience
- 6+ years
- Education
- Master's degree
- Listed
- 29 days ago
Skills & highlights for this role
- large language models
- information retrieval
- machine learning
Also useful
- AI agent evaluation
- experimentation design
- statistical analysis
Stated benefits & perks
- Health
Overview
Do you enjoy shaping frontier AI technologies such as AI agents and agent evaluation, one of the fastest-growing areas in AI today? Join our team to help build the data-driven intelligence behind Microsoft 365 Copilot, applying advanced analytics and machine learning to improve the quality, intelligence, and user experience of AI-powered productivity solutions.
As an Applied Scientist, you'll work at the intersection of large language models (LLMs), information retrieval, search, machine learning, and AI evaluation, partnering closely with software engineers, researchers, and product managers to set scientific direction and lead the development of data-driven approaches that measure, analyze, and improve AI systems. You'll analyze large-scale datasets, design rigorous experiments, uncover actionable insights, mentor other scientists, and drive cutting-edge AI innovations from idea to production.
Our team embraces an AI-first engineering culture, leveraging AI throughout the development lifecycle to accelerate innovation while maintaining the highest standards of security, quality, and trust.
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
- Lead the development of metrics and evaluation methodologies to measure the quality, accuracy, and usability of AI systems.
- Design and analyze online and offline experiments to quantify product improvements and identify opportunities for optimization.
- Build scalable data pipelines, dashboards, and analytical tools that enable continuous quality monitoring.
- Apply statistical analysis, machine learning, and data mining techniques to extract insights from large-scale datasets.
- Partner with engineering, research, and product teams to shape technical direction and prioritize investments using data-driven recommendations.
- Investigate quality regressions, identify root causes, and propose measurable improvements.
- Shape best practices for AI evaluation, experimentation, and responsible AI measurement across multiple products, mentoring scientists in their adoption.
- Communicate technical findings clearly to both engineering and business stakeholders.
Required Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Preferred Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 3+ years experience developing and deploying live production systems, as part of a product team.
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Pay and benefits
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Equal opportunity and legal notices
Microsoft is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
From Microsoft's careers page, first listed on Rolev.ai on October 11, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Principal Applied Scientist role at Microsoft?
The Principal Applied Scientist posting at Microsoft states compensation of $142,800 – $274,800 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Microsoft's official career site.
Where is the Principal Applied Scientist job at Microsoft located?
This Principal Applied Scientist position at Microsoft is located in United States. Always check Microsoft's application page for specific state eligibility or relocation policies.
What qualifications are required for Principal Applied Scientist at Microsoft?
For the Principal Applied Scientist role, Microsoft highlights 6+ years of relevant experience; a master's degree; experience with large language models, information retrieval, machine learning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Principal Applied Scientist position at Microsoft?
This listing links directly to Microsoft's application page. You can apply directly on Microsoft's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.