OverviewWe are seeking a
Principal Applied Science Manager with proven experience in leading and growing a team of Applied Scientists driving innovation in creative generation, personalization, creative understanding, quality evaluation, and optimization.
This role offers the opportunity to shape future advertiser-facing AI experiences, influence long-term science investments, and bring cutting-edge AI innovations into production at Microsoft scale.
In this this role you will drive the science strategy and execution for text, image, and multimodal creative solutions, including asset generation, personalization, creative understanding, and optimization, helping advertisers improve campaign performance through advanced AI and machine learning technologies.
This is a highly cross-functional role with broad impact across Ads, Shopping, and Copilot experiences, requiring a balance of technical depth, people leadership, product thinking, and strategic execution.
Responsibilities- Lead and grow a team of Applied Scientists focused on text, image, and multimodal creative AI.
- Define and execute the science roadmap for creative generation, personalization, creative understanding, and optimization.
- Drive innovation using LLMs, multimodal foundation models, and generative AI technologies.
- Partner with Engineering, Product Management, Design, and TPM teams to deliver impactful advertiser-facing solutions.
- Establish metrics and experimentation frameworks to measure business and customer impact.
- Translate business opportunities into scalable AI solutions that improve advertiser ROI and user engagement.
- Foster a culture of technical excellence, collaboration, and customer focus.
- Communicate strategy, results, and recommendations to senior leadership and cross-functional partners.
QualificationsRequired Qualifications:- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 3+ years of people management experience.
Preferred Qualifications:- Master's 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.
- Experience developing and shipping large-scale machine learning solutions.
- Experience leading and growing teams of scientists, engineers, or other technical professionals.
- Proven expertise in machine learning, experimentation, and data-driven decision making.
- Experience driving cross-functional initiatives and influencing stakeholders across organizations.
- Excellent communication, leadership, and execution skills.
- Experience with generative AI, LLMs, multimodal AI, personalization, computer vision, or creative optimization systems.
- Experience building large-scale advertising, recommendation, ranking, personalization, or content generation products.
- Demonstrated success translating research and innovation into customer and business impact.
- Experience working on digital advertising, creative tooling, or AI-powered content platforms.
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Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
