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Microsoft Research Asia – Vancouver lab, located in the vibrant city of Vancouver, BC, Canada, our lab represents Microsoft Research Asia’s exciting expansion into the Asia-Pacific region. We’re on a mission to transform the future of artificial intelligence by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact. We are currently seeking a Principal Researcher in the area of Systems and Networking with a keen interest in exploring advanced Artificial Intelligence (AI) driven methods for systems, thereby expediting overall system innovation. At the Vancouver lab, we focus on deeply integrating intelligent systems across every layer of computing—from infrastructure to the physical environment. Our goal is to solve complex, real-world challenges with precision, scalability, and cost-efficiency. This means working at the intersection of AI, human interaction, and environmental context through a dynamic, co-evolutionary process. If you're passionate about pushing the boundaries of AI and want to be part of a team that’s shaping the future of intelligent systems, we invite you to explore opportunities with us. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of those areas.
Job Responsibility:
Conduct research on state-of-the-art AI-driven system methods and technologies to identify opportunities for system innovation and acceleration
Develop and implement new methodologies, techniques, and algorithms for improving the performance, efficiency, and scalability of AI-driven systems
Collaborate with cross-functional teams, including hardware and software engineers, data scientists, and product managers, to drive the development and deployment of innovative AI-driven system solutions
Stay current with the latest trends, research, and developments in AI, machine learning, and system architecture to ensure our systems remain at the forefront of innovation
Evaluate the performance of AI-driven systems and provide recommendations for improvement and optimization
Publish research findings in peer-reviewed journals, conferences, and other relevant venues, and present research results to internal and external stakeholders
Mentor and guide researchers and engineers in their research and development efforts
Collaborate with industry partners and academic institutions to drive joint research projects and initiatives
Embody our culture and values
Requirements:
Doctorate in relevant field AND 3+ years related research experience OR equivalent experience
3+ years experience in research related to Artificial Intelligence or Machine Learning
Doctorate in relevant field AND 5+ years related research experience OR equivalent experience
Experience publishing academic papers as a lead author or essential contributor
Experience participating in a top conference in relevant research domain
Background in systems and networking, including experience with machine learning system, database, and networking technologies
Deep knowledge about the latest technical advancements such as Agent Systems, Vector Database, and ML Systems
A track record of published research in the field of AI-driven system innovation