Mountain View, United States; Redmond, United States
Full job description
Microsoft Monetization is hiring a Principal Applied Scientist to lead AI-powered relevance, ranking, personalization, recommendation, and agentic commerce initiatives across Microsoft Search, Shopping, Copilot, and Ads. The role involves setting technical strategy, driving innovation in machine learning including LLMs and multimodal AI, leading end-to-end ML development, partnering with engineering and product teams, and mentoring scientists and engineers. Candidates must have advanced degrees in related fields with extensive experience (10+ years preferred) in building large-scale ML systems in search, recommendation, advertising, commerce, or conversational AI. The position is full-time, on-site in Redmond, WA or Mountain View, CA, with a salary range depending on level and location from approximately $142,800 to $331,200 per year.
What you'll do
Serve as the technical lead for AI-powered relevance, shopping, recommendation, and agentic commerce initiatives across Copilot, Shopping, and Ads experiences
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Mountain View, United States; Redmond, United States
Full-time
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
Requirements
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Extensive experience building and shipping large-scale machine learning systems in search, recommendation, ranking, advertising, commerce, conversational AI, or personalization
Deep expertise in modern machine learning including deep learning, transformers, representation learning, retrieval systems, recommendation systems, and foundation models
Demonstrated experience serving as a technical lead for large-scale cross-organizational initiatives
Proven ability to translate research innovations into production systems with measurable business impact
Experience with LLMs, SLMs, multimodal AI, and agentic systems
Experience in advertising, e-commerce, shopping, recommendation, or marketplace ecosystems
Experience developing AI-powered assistants, commerce experiences, or personalization platforms
Experience optimizing distributed training and inference systems on large GPU clusters
Experience mentoring principal-level engineers, scientists, and technical leaders
Certain roles may be eligible for benefits and other compensationAdditional benefits and pay information available at https://careers.microsoft.com/us/en/us-corporate-pay
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