# Applied Scientist II **Company**: Microsoft **Location**: Redmond **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $100,600 - $199,000 per year **Category**: Engineering **Industry**: Technology **Ticker**: MSFT **Wikidata**: https://www.wikidata.org/wiki/Q2283 **Apply**: https://microsoft.ai/job/applied-scientist-ii-10/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f1b869a5-403 ## Description Core Search and AI team (Bing) is looking for people who want to build the next generation of search using advanced AI technologies, especially large language models, at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, query and document understanding, retrieval and reranking model for search results optimization, as well as AI search grounding, etc. We are seeking a highly motivated Applied Scientist II with machine learning expertise and can adopt state-of-art AI technologies to improve the relevance for the next generation of search. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely. We collaborate regularly across the company to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure. 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. In this role you will contribute to one or more subareas and build expertise across a broad research landscape, including advanced research methodologies and applied techniques. Develop deep knowledge of a service, platform, or domain, and identify product opportunities by sharing emerging industry trends and applied technologies. Explore types of data needed to solve complex problems and apply deep subject-matter expertise to drive measurable business impact. Document ongoing work, experimental results, and research findings to promote transparency and innovation. Develop next-generation search capabilities by building and optimizing retrieval, ranking, and relevance systems that integrate deeply with LLM-powered experiences. Refine RAG pipelines that enhance retrieval fidelity, reduce hallucinations, and deliver more context-aware, user-aligned responses in production environments. Translate research into production by running experiments, analyzing results, and collaborating with engineering partners to deploy scalable, reliable model improvements. Monitor and evaluate model performance using quantitative metrics, qualitative assessments, and user-centric evaluation frameworks to ensure continuous improvement. Contribute to a culture of innovation by sharing learnings, mentoring peers, and participating in internal research discussions, reviews, and technical deep dives. ## Skills ### Required - Machine Learning - Large Language Models - Python - C++ - C# - Java - Research - Data Analysis ### Nice to have - NLP - Deep Learning - Cloud Computing - DevOps --- Source: [Apply at microsoft.ai](https://microsoft.ai/job/applied-scientist-ii-10/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)