AdTechTalent
Data Science2 days agoOn-site

Microsoft

Principal Applied Science Manager

machine learninggenerative AILLMsmultimodal AIpersonalizationcomputer visioncreative optimizationadvertisingAIdata scienceleadershipexperimentation

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

10+

Location

Mountain View, United States; Redmond, United States

Full job description

Microsoft Monetization's Creative team seeks a Principal Applied Science Manager to lead a team developing AI-powered creative solutions for advertising. Responsibilities include leading applied scientists, defining science roadmaps for text, image, and multimodal AI, driving innovation with LLMs and generative AI, partnering cross-functionally, establishing metrics, and translating business needs into scalable AI solutions. Requires a degree in a related field with 8+ years experience (or equivalent), 3+ years management experience, expertise in machine learning, experimentation, generative AI, and experience with large-scale advertising or content generation products. Role is full-time, on-site in Redmond, WA or Mountain View, CA. Salary ranges from $165,600 to $296,400 annually, higher in SF Bay Area and NYC.

What you'll do

  • 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

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
  • 3+ years of people management 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
  • 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

Tech stack

machine learninggenerative AILLMsmultimodal foundation modelsAI-powered creative solutionspersonalizationcomputer visionexperimentation frameworksdata-driven decision making

Benefits

Competitive salary rangePotential eligibility for benefits and other compensationInclusive and diverse work cultureOpportunities to work on cutting-edge AI innovations at scale

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