Microsoft
Applied Scientist II
$102K–$219K
Redmond, WA · On-site · Full-time · Posted Oct 16, 2026
- Experience
- Required: 2+ years with a bachelor’s degree, 1+ year with a master’s degree, or a doctorate; related experience includes statistics, predictive analytics, or research. Preferred experience includes 2+ years in coding, deep learning/AI product development, and machine-learning or deep-learning frameworks.
- Education
- Bachelor’s, master’s, or doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field; or equivalent experience.
About the job
Develops and ships machine-learning systems and core Microsoft 365 Copilot experiences, translating applied research into production AI capabilities.
What you'll do
- Design and build backend platform capabilities and core Copilot scenarios; take projects from design through experimentation and launch.
- Develop machine-learning and deep-learning algorithms using text, images, and video to analyze and transform content.
- Design fundamental technologies and conduct applied research for next-generation AI experiences.
What they ask for
- Bachelor’s degree in a listed or related field and 2+ years of related experience, or a master’s degree in a listed or related field and 1+ year of related experience, or a doctorate in a listed or related field, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
Nice to have
- 2+ years of industrial coding experience in C++, C#, C, Java or Python; deep-learning and end-to-end AI product development experience; and experience with Pytorch/Tensorflow.
- Clear communication, end-to-end technical problem-solving, experience shipping internet-scale AI products, or publications at leading conferences.
Pay
USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)
Tools
C++, C#, C, Java, Python, Pytorch, Tensorflow
AI focus
Applied research and production development of deep learning, large language models, conversational search, multimodal and agentic interactions, and AI capabilities for Microsoft 365 Copilot.
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