New 
Applied Engineer II
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 17, 2025 | |
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OverviewAs an Applied Engineer II you will play a pivotal role in contributing 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 experience in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to impact some of the most exciting initiatives in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes. 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.
ResponsibilitiesResearch and implement state-of-the-art technologies using foundation models, prompt engineering, Retrieval Augmented Generation (RAG), graphs, multi-agent architectures, as well as classical machine learning techniques.Fine-tune foundation models using domain-specific datasetsEvaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, and online experiments Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, and support Machine Learning and AI operations Utilize demonstrated experience in AI subfields (e.g., deep learning, Generative AI, Natural Language Processing (NLP), muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.Apply an 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.Embody ourcultureandvalues. | |