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Senior Applied Scientist

Microsoft· Applied Sciences
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Redmond, WA$119.8k - $234.7kFull-timePosted 1w ago

About the role

Senior Applied Scientist to improve offline evaluations for Microsoft Copilot, developing methods to extract representative query/intent patterns, generate synthetic evaluation data, and align offline results with online experiments. Lead and collaborate across engineering, product, and research to scale evaluation capabilities for Copilot.

Responsibilities

  • Frame complex product and customer problems as applied science opportunities with clear success metrics.
  • Design, build, and evaluate machine learning and AI models, algorithms, and experimentation frameworks.
  • Develop robust data, training, evaluation, and inference pipelines suitable for production use.
  • Conduct rigorous offline and online experiments; analyze results and communicate actionable recommendations.
  • Partner with software engineers and product managers to integrate scientific solutions into products and services.
  • Improve model quality, reliability, efficiency, safety, and responsible AI practices throughout the lifecycle.
  • Provide technical leadership through design reviews, mentoring, and raising the scientific bar for the team.
  • Stay current with relevant research and identify opportunities to apply new methods to customer needs.

Qualifications

  • Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., generative AI, agentic evaluation, LLM, research) OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., generative AI, agentic evaluation, LLM, research) OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., generative AI, agentic evaluation, LLM, research)

Skills

Required:Applied science framingMachine learning model design and evaluationData, training, evaluation, and inference pipelinesOffline and online experimentationCross-functional collaboration

Benefits

  • Benefits and other compensation may apply (per location). See employer pay information page for details.
Last updated Oct 16, 2026. Interested? Apply on the company site.

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