Microsoft Principal Applied Science Manager Generative AI 

United States, California, Mountain View 

682249220

We are looking for ato lead the Asset Generation team. You will work with applied scientists and engineers to train and fine-tune generative models to facilitate creation and editing of text, image and video assets for advertisers, utilizing third-party technology where appropriate.

Required 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 Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in 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.
• 7+ years of people management experience.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience using Generative AI to build complex production systems.

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

• Stay up to date on the latest advances in Generative AI techniques for image and video creation and editing.
• Collaborate with product managers to understand the business requirements for asset generation.
• Design metrics to evaluate the performance of each component of the asset generation pipeline
• Lead a team of engineers and applied scientists to train and/or fine-tune generative models to create and edit ad campaign assets.
• Evaluate third-party models and tools for asset generation and integrate them into our pipeline.
• Hire new team members and uplevel the existing talent on the team.