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Applied Scientist II - AI

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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 an Applied Scientist II - AI for the Customer Experience Architecture team (CXA), 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 experiences.

Job Responsibility:

  • Build collaborative relationships with product and business groups to deliver AI-driven impact
  • Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
  • Fine-tune foundation models using domain-specific datasets
  • Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
  • Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
  • Contribute to papers, patents, and conference presentations
  • Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
  • Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
  • Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact
  • Share insights on industry trends and applied technologies with engineering and product teams
  • Formulate strategic plans that integrate state-of-the-art research to meet business goals
  • Maintain clear documentation of experiments, results, and methodologies
  • Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing
  • Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes
  • Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring
  • Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring
  • Design, develop, and integrate generative AI solutions using foundation models and more
  • Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems
  • Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps
  • Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics
  • Address scalability and performance issues using large-scale computing frameworks
  • Monitor model behavior, guide product monitoring and alerting, and adapt to changes in 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 (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • 1+ years of experience with Generative AI OR Large Language Model (LLM)/Machine Learning algorithms
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

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+ years 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 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

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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