Bing Index Serve is the core part of Bing’s search engine. The team is responsible to manage tens of thousands of machines and provide backend search engineer for document selection and ranking. The FBV team…
The Microsoft Search, Assistant, and Intelligence (MSAI) group is working to change the lives and work of hundreds of millions by building deep intelligence into M365 Chat, Search, Recommendation and Knowledge powered scenarios that people…
The Microsoft Search in Bing Team is hiring Applied Scientist II in Redmond, WA, with a keen interest in building state-of-the-art machine learning models. In this role, you will have the opportunity to collaborate with…
As an Applied Scientist in Microsoft Search, Assistant, and Intelligence (MSAI), you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research. You will work as part…
Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, this Applied Scientist role with the Microsoft Turing team may be a great fit…
The Augmented Learning and Reasoning (ALR) group in Microsoft Research develops learning algorithms for, and improves our understanding of, LFM-based AI systems by utilizing large-scale user and system signals. We are looking for researchers who…
Interested to utilize your data and applied science skills to influence and shape the product that millions of users use worldwide? Do you want to work on the intersection of artificial intelligence, local business, a…
In this issue: New research helps COMET embrace African languages; FeatUp improves deep features, a computer vision research cornerstone; LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error; Benchmarking LLMs across languages and…
The Augmented Learning and Reasoning (ALR) group in Microsoft Research is looking to hire research interns to expand the frontiers of learning and reasoning with foundation models—to both improve the performance of generative AI models…