Principal Applied Scientist-Ads Monetization

Join Microsoft Monetization to build the future of AI-powered monetization and shape how people discover choose and engage with products services and brands across Microsofts most innovative experiences.

Microsoft Monetization is building the next generation of AI-powered advertising and commerce experiences across Search Shopping Copilot and emerging agentic surfaces. As conversational agents increasingly become the interface between users and businesses we are reimagining how products services and ads are discovered selected personalized and delivered.

AI Experiences employees who live within a 50- mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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.

• Required Qualifications:

Bachelors 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 Masters 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.

• Masters Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 12 years related experience (e.g. statistics predictive analytics research)
• OR Doctorate in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 8 years related experience (e.g. statistics predictive analytics research)
• 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.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142800 - $274800 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $188000 - $304200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $165600 - $296400 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $220800 - $331200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

IC