Applied Scientist II and Senior Applied Scientist (Multiple Positions)

Mountain View, California, United States

Microsoft

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Applied Scientist II and Senior Applied Scientist (Multiple Positions)

 

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 Create ML team, where we are revolutionizing visual creation within the M365 Copilot, Microsoft Designer, Photos. Located in Mountain View, California, 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 (Multiple Positions) 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. 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. 

Responsibilities

  • 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.' 

Qualifications

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 proficiency in Python and relevant ML libraries (e.g., PyTorch). 
  • Experience with LLM/VLM/diffusion models (e.g., GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen). 
  • Experience technical background in coding and design, specifically in the development of AI models for scaled production services.  
  • 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development. 

Other Requirements:


Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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+ 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.
  • Publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.   
  • Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.   
  • Grounded in growth mindset, and advocate for inclusion.   
  • Customer obsessed and passionate about product impact.   

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.

 

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 applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Category: Data Science Jobs

Tags: Computer Science Copilot Data analysis Data Mining Diffusion models Econometrics Engineering GPT LLMs Machine Learning ML models NLP Python PyTorch Research Security Stable Diffusion Statistics

Perks/benefits: Career development Medical leave

Region: North America
Country: United States

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