New 
Applied Scientist II - AI
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 11, 2025 | |
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OverviewAs an Applied Scientist - AI forBusiness & Industry CopilotFoundationsteam, you will play a pivotal role in advancing Microsoft's mission. You will contribute to the development and integration ofcutting-edgeAI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate acrossproduct,researchand engineering teams to bring innovative solutions to life, applying yourexpertisein machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customerexperience. Microsoft is driving innovation in Artificial Inteligence (AI) and building an open architecture platform that empowers users with tailored AI for real-world impact. We are seeking an Applied Scientist - AI who combines expertise in AI and applied science, embraces a growth mindset, and demonstrates customer empathy to help shape the future of AI. 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.
ResponsibilitiesBuild collaborative relationships with product and business groups to deliver AI-driven impact Research and implementstate-of-the-artusing foundation models, prompt engineering, graphs, multi architectures, as well as classical machine learning techniques. Fine-tune foundation models using domain-specificdatasets. Evaluate model behavior on relevance, bias, hallucination, and response qualityvia offline evaluations, shadow experiments, online experiments, and Retun On Investment(ROI) analysis. Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, supportMLOps/AIOps. Ability to use data toidentifygaps in AI quality, uncover insights and implementPoCsto show proof of concepts. | |