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Principal Applied Science Manager, Generative AI

Microsoft
Mountain View, United Statesfull_timeVerifiedPosted 28 Jan 2025
💰 $314,400/yr($161,600/yr$314,400/yr)

About the role

Copilot in the Microsoft Advertising Platform is an AI Companion which helps advertisers set up and troubleshoot their campaigns, generate high performing creatives (text, image and video), and answer any questions that they have. We are a fast-moving team of engineers and applied scientists leveraging the latest Generative AI technology to build these tools.


We are looking for a Principal Applied Science Manager to 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.

This role is available both in Mountain View, CA, New York, NY and Redmond, WA locations.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • 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.

Qualifications

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 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.
  • 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.

Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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

Microsoft will accept applications for the role until February 4, 2025.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by ap

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Company

Microsoft

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