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Principal Applied Scientist-Ads Monetization

Microsoft· Applied Sciences
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Redmond, WA, Mountain View, CA$142.8k - $274.8kFull-timePosted 3w ago

About the role

Join Microsoft Monetization to build AI-powered monetization and shape how people discover, choose, and engage with products, services, and brands across Microsoft experiences. Lead AI-powered relevance, ranking, personalization, and agent-driven commerce initiatives across MSAN, Copilot, Shopping, and Ads experiences; drive ML innovation and ship large-scale ML systems with measurable business impact.

Responsibilities

  • Serve as the technical lead for AI-powered relevance, shopping, recommendation, and agentic commerce initiatives across Copilot, Shopping, and Ads experiences.
  • Drive innovation in machine learning technologies including LLMs, SLMs, multimodal AI, retrieval, ranking, personalization, and recommendation systems.
  • Define and execute the science roadmap for user intent understanding, product understanding, content relevance, and advertiser matching.
  • Lead end-to-end ML development, including model architecture, training data strategy, evaluation, experimentation, calibration, and production deployment.
  • Partner with engineering and product teams to deliver scalable, reliable, and cost-efficient AI systems.
  • Shape the technical vision for future agent experiences, conversational shopping, and AI-assisted commerce scenarios.
  • Drive measurable improvements in customer satisfaction, engagement, relevance quality, and business outcomes.
  • Mentor scientists and engineers while raising the technical bar across machine learning, experimentation, and scientific rigor.

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 learning system design
Nice to have:LLMs/SLMs and multimodal AILeadership/technical leadProductionization of research

Benefits

  • This section not explicitly enumerated in the description.
Last updated Oct 1, 2026. Interested? Apply on the company site.

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