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Microsoft

Builds workplace software, PCs and cloud services

Principal Applied Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRedmond, WA, USA$142.8k - $304.2k /yrIn-person

About the Job

Requirements

  • A Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a related field and 6 or more years of related experience, or a Master's degree in one of those fields and 4 or more years of related experience, or a Doctorate in one of those fields and 3 or more years of related experience, or equivalent experience.
  • A Master's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a related field and 9 or more years of related experience, or a Doctorate in one of those fields and 6 or more years of related experience, or equivalent experience.
  • At least 5 years of experience creating publications, such as patents, libraries, or peer-reviewed academic papers.
  • At least 2 years of experience presenting at conferences or other events in the external research or industry community as an invited speaker.
  • At least 5 years of experience conducting research as part of a research program in an academic or industry setting.
  • At least 3 years of experience developing and deploying live production systems as part of a product team.
  • At least 3 years of experience developing and deploying products or systems at multiple points in the product cycle, from ideation to shipping.

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 engineering and business stakeholders.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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