Applied Scientist II and Senior Applied Scientist (Multiple Positions) - Create ML Team, Office Product Group

Applied Scientist II and Senior Applied Scientist (Multiple Positions) - Create ML Team, Office Product Group

Are you an applied scientist with a passion for applying state-of-the-art AI innovations to augment human creativity? Join us as we grow the M365 Copilot Hub Create ML team, where we are revolutionizing visual creation within the M365 Copilot App, Microsoft Designer, Photos. Located in Mountain View, California and Redmond, WA, we're pushing the limits of machine learning to help create information workers to create the world’s best designs. 

As an Applied Scientist II and Senior Applied Scientist in the Create ML team, you will work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will have the opportunity to develop cutting-edge visual creation models and build top tier visual creation experience in M365 Copilot App. This role is crucial for driving innovation and creating modern, inclusive, and intelligent design experiences used by millions worldwide.  

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. 

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 2+ years of experience demonstrating proficiency in Python and relevant Machine Learning (ML) libraries (e.g., PyTorch).  
• 2+ years of experience with LLM/VLM/diffusion models, including but not limited to: GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen. 
• Experience shipping applied research to production, including a track record of combining coding skills with advanced expertise in AI model development.   

Preferred 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+ year(s) 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.
• Experience in coding and design, specifically in the development of AI models for scaled production services. 
• Experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.    
• Experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.    
• Experience demonstrating a growth mindset, customer obsession, and Inclusion.     
• Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

   

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

• You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers. 
• You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people’s lives.   
• You will work with engineering partner teams on the model integration/flight/maintenance.'