Mountain View, United States; Redmond, United States
Full job description
Microsoft Monetization seeks a Principal Applied Scientist and Technical Lead to drive AI-powered advertising and commerce experiences. Responsibilities include leading AI initiatives in relevance, shopping, recommendation, and agentic commerce; innovating in machine learning technologies such as LLMs, SLMs, multimodal AI; defining and executing science roadmaps; leading end-to-end ML development; partnering with engineering and product teams; shaping technical vision for agent experiences; driving measurable business outcomes; and mentoring scientists and engineers. Required qualifications include advanced degrees in relevant fields with 5-8+ years experience, extensive experience in large-scale ML systems, technical leadership, and expertise in modern ML techniques. The role is full-time, on-site in Redmond, WA or Mountain View, CA, with salary range $165,600-$296,400 USD annually, higher in SF Bay Area and NYC. Benefits and additional compensation details available online.
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 8+ years related experience
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
OR equivalent experience
Preferred: Master's Degree AND 12+ years related experience
Preferred: Doctorate AND 8+ years related 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
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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