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.

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.