Member of Technical Staff, Applied Scientist - Windows Copilot

• Develop and refine data pipelines and infrastructure to support AI model development for Copilot. 
• Collaborate with research teams to integrate cutting-edge AI advancements into production systems. 
• Design, train, and evaluate machine learning models, ensuring performance optimization and scalability. 
• Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards. 
• Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.  
• Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.  
• Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI. 
• Embody our Culture and Values.  

Required Qualifications

• Bachelor's 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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Proven track record of deploying machine learning models in large-scale production environments. 
• 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows. 
• Proven track record of deploying machine learning models in large-scale production environments. 
• 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows. 

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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.

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.