New 
Applied Scientist II (CoreAI)
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 26, 2025 | |
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OverviewMicrosoft's Enterprise customers have a challenge - they need the tools to build agentic experiences over public and private knowledge. The Azure AI Knowledge team is leading the way to deliver the next chapter of RAG (retrieval-augmented generation) that can bring together many sources of data and transform data into knowledge. We are expanding Azure AI Search, Azure's retrieval platform to meet the demands of complex queries that require reasoning and reflection to deliver high quality results. Our customers span many different industries, corpus sizes and scenarios, and our work includes multiple aspects, such as: Developing LLM prompts, agents and query execution workflows, often with tight latency constraints Collection, generation and filtering of training and evaluation data Building off state of the art techniques from across Microsoft and the industry As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists,and program managers to help us realize our mission to empower every person and every organization on the planet to achieve more. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company with teams like Bing and Microsoft Research. A major aspect of this role is to push our development of knowledge retrieval to the frontier. This requires a capable individual who is well versed in both deep learning and LLM techniques - someone who can solve the hardest challenges where the latest reasoning models are best suited, and create low latency options where speed is critical. If you are passionate about workingonthe latest and hottest areas in Artificial Intelligence, Machine Learning and data science, all the while making search better for customers across the world and being part of one of the biggest cloud providers, then this is the team you're looking for!
ResponsibilitiesIncorporate state of the art research into techniques shipped to production. Develop and build metrics to use across the full range of search engine components. Seek out and incorporate customer feedback into dataset construction, evaluation and technique development. Provide technical excellence and contribute to experimentation infrastructure and proofs-of-concept to test out new ideas and concepts. Advances the quality of the team's experimental codebase to ensure experiments are efficient and repeatable. Work collaboratively withprogram management,engineers, and other functions across products. Contribute to team plans, documents, and communication in a clear and efficient way. | |