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Microsoft’s Enterprise customers have a challenge – they need the tools to build agentic experiences over public and private knowledge.is leading the way to deliver the next chapter ofRAG (retrieval-augmented generation) that can bring together many sources of data and transform data into knowledge., Azure’sretrieval platformto 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:
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 bestsuited, andcreate low latency options where speed is critical.
Required Qualifications:
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Preferred Qualifications:
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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