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Applied Scientist II

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Redmond

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

100600.00 - 199000.00 USD / Year
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Job Description:

As Applied Scientist II - AI for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience. Microsoft is driving innovation and openness in AI, aiming to build an open architecture platform where users can deploy customized AI agents for real-world impact. The role seeks individuals with both AI and applied science expertise, a growth mindset, and strong customer empathy to help address significant challenges and shape the future of AI solutions.

Job Responsibility:

  • Collaborate with product and business teams to deliver impactful AI solutions using advanced techniques like foundation models, prompt engineering, and multi-solution architectures
  • Fine-tune AI models with domain-specific data, evaluate and monitor their performance, and rapidly prototype and deploy AI systems
  • Support MLOps by translating research into production-ready applications, maintaining clear documentation, and sharing insights
  • Proactively address ethical, privacy, and security risks to ensure responsible AI development throughout the lifecycle
  • Design, develop, and integrate generative AI solutions using deep understanding of language models, deep learning, and optimization techniques to solve business problems
  • Prepare and analyze data for machine learning, identify optimal features, and address data gaps using modern frameworks and state-of-the-art models
  • Ensure scalability and performance of AI solutions, continuously monitor model behavior, and adapt to evolving data streams

Requirements:

  • 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
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check

Nice to have:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR equivalent experience
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
  • 1+ years of experience publishing in peer-reviewed venues or filing patents
  • 1+ years of experience conducting research in academic or industry settings
  • 1+ years of experience working with Generative AI models and ML stacks
  • Experience across the product lifecycle from ideation to shipping
  • Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines
  • Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
  • Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript
  • Experience presenting at conferences or industry events
  • Experience with design and implementation of enterprise-scale services
  • 1+ years of experience with generative AI OR LLM/ML algorithms

Additional Information:

Job Posted:
February 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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