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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 and experienced Senior Applied Scientist with solid machine learning expertise and can adopt state-of-art AI technologies to improve the relevance for the next generation of search.
Job Responsibility:
Master one or more subareas and build expertise across a broad research landscape
Review business requirements and incorporate research insights to meet strategic goals
Support the onboarding of junior team members and help develop academic collaborators
Document ongoing work, experimental results, and research findings to promote transparency and innovation
Advance LLM post-training and alignment techniques
Develop next-generation search capabilities by building and optimizing retrieval, ranking, and relevance systems
Architect and refine RAG pipelines
Translate research into production by running experiments, analyzing results, and collaborating with engineering partners
Drive scientific rigor through hypothesis-driven experimentation
Collaborate across disciplines
Monitor and evaluate model performance
Contribute to a culture of innovation by sharing learnings, mentoring peers
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
5+ years of experience coding in Python, C++, C#, C or Java
3+ year of industry experience applying Machine Learning techniques