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Senior AI Applied Scientist

Microsoft

$119,800 - $234,700
Oct 24, 2025
Redmond, WA, US
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Advancing Microsoft's mission to empower every individual and organization on the planet to achieve more by developing and integrating cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. The role aims to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.

Requirements

  • 1+ years of experience with generative AI OR LLM/ML algorithms.
  • 1 research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
  • Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
  • Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).
  • 1+ year of experience developing and deploying live production systems.
  • 1+ years of experience working with Generative AI models and ML stacks.
  • 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.

Responsibilities

  • 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.
  • Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
  • Design, develop, and integrate generative AI solutions using foundation models and more.
  • 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.

Other

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  • 3+ years of experience publishing in peer-reviewed venues or filing patents.
  • Experience presenting at conferences or industry events.
  • 3+ years of experience conducting research in academic or industry settings.