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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.
Job Responsibility:
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
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience
Nice to have:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
2+ years of experience coding in Python, C++, C#, C or Java
1+ year of industry experience applying Machine Learning techniques
Experience building and improving large scale Machine Learning system for search, ads, and recommendation, adopting LLM
Research background on Machine Learning, LLM and NLP
Proficient problem solver: ability to identify and solve problems that the world has not solved before