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Senior Researcher – Artificial Specialized Intelligence - Microsoft Research

Microsoft, Redmond, Washington, United States, 98052

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Senior Researcher – Artificial Specialized Intelligence - Microsoft Research

Join Microsoft as a Senior Researcher in Artificial Specialized Intelligence, focusing on cutting-edge large foundation models and post-training techniques for various domains and scenarios. Microsoft Research Asia – Vancouver lab is expanding into the Redmond and Asia-Pacific region, aiming to transform the future of artificial intelligence by bridging the gap between general AI and specialized applications. The lab integrates intelligent systems across every layer of computing, from infrastructure to the physical environment, to solve complex challenges with precision, scalability, and cost-efficiency. Responsibilities include: Conducting research in large foundation models, applying them to specific domains. Collaborating with cross-functional teams to integrate solutions into AI-driven systems. Developing and maintaining research prototypes and software tools. Publishing research findings in top-tier conferences and journals. Collaborating with other AI researchers and engineers to foster innovation and continuous learning. Required Qualifications: Doctorate in computer science or a relevant field, or equivalent experience. Preferred Qualifications: Doctorate in a relevant field and 2+ years of related research experience, or equivalent experience. Experience publishing academic papers as a lead author or essential contributor. Experience participating in top conferences in relevant research domains. Background in system and architecture, including computer hardware, software, and networking technologies. Deep knowledge of large model training/inference technology. A track record of published research in AI or system innovation. Keen interest in general AI research, including large foundation models and artificial specialized intelligence. Microsoft is an equal opportunity employer, considering all qualified applicants without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex, or any other characteristic protected by applicable local laws.

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