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Principal Applied Scientist

Microsoft· Applied Sciences
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Redmond, WA$142.8k - $274.8kFull-timePosted 2w ago

About the role

Microsoft AI's Web Data Platform (WDP) team focuses on large-scale machine learning, web understanding, information retrieval, and generative AI to improve quality, trust, and usefulness of web-scale content and knowledge systems. The role involves leading scientific strategy, end-to-end development of AI solutions, mentoring, and cross-organizational collaboration to shape the future of AI-enabled information ecosystems.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning, information retrieval, large language model, and agentic AI solutions that improve the quality, understanding, and usefulness of web-scale content and knowledge systems.
  • Drive scientific strategy and technical direction for large-scale machine learning and AI initiatives across Web Data Platform.
  • Lead end-to-end development of scientific solutions, including problem formulation, experimentation, model development, evaluation, production deployment, and long-term measurement of impact.
  • Partner closely with engineers, product managers, researchers, and leaders across Bing, Copilot, and Microsoft AI to solve challenging customer and platform problems.
  • Define long-term technical roadmaps, influence organizational investments, and identify new opportunities where advances in AI can create meaningful customer value.
  • Establish rigorous experimentation frameworks, evaluation methodologies, and success metrics to drive scientific excellence and measurable product impact.
  • Advance technologies that increase trust, quality, integrity, and safety across the web ecosystem, mitigating abuse and low-quality AI-generated content.
  • Develop novel approaches for content understanding, quality estimation, risk detection, trust modeling, and ecosystem health measurement at Web scale.
  • Mentor and grow other scientists, raise the scientific bar, and contribute to recruiting and talent development.
  • Drive cross-organizational collaboration and influence across teams to shape technical strategy beyond immediate ownership.

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.

Skills

Required:Machine learningInformation retrievalLarge language models / GenAI
Nice to have:Distributed data processingResponsible AI / model governanceSoftware engineering
Last updated Oct 9, 2026. Interested? Apply on the company site.

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