Microsoft Principal Researcher - Systems & Networking Microsoft Research 

Taiwan, Taoyuan City 

438614828

,in the vibrant city of Vancouver, BC, Canada, our labon a mission to transform the future of artificial intelligence by bridging the gap between

Principal Researcherin the area of
Systems and Networkingwith a keen interest in exploring advanced Artificial Intelligence (AI) driven methods for, therebyoverall 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.

Required Qualifications:

• 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.

Preferred Qualifications:

• Doctorate in relevant field AND 5+ years related research experience

• OR equivalent experience.

• Experience publishing academic papers as a lead author or essential contributor.

• participatingin a top conference in relevant research domain.

• Background in systems and networking, including experience with machine learningsystem,database, and networking technologies.

• Deep knowledge about the latest technical advancements such as Agent Systems, Vector Database, and ML Systems

• A track recordof published research in the field of AI-driven system innovation

Research Sciences IC5 - The typical base pay range for this role across Canada is CAD $142,400 - CAD $257,500 per year.

Find additional pay information here:

• Conduct research onstate-of-the-artAI-drivensystem methods and technologies toidentifyopportunities for system innovation and acceleration.

• Develop and implement new methodologies, techniques, and algorithms for improving the performance, efficiency, and scalability of AI-driven

• drivensystem solutions.

• Stay current with the latest trends, research, and developments in AI, machine learning, and system architecture to ensure our systemsremainat the forefront of innovation.

• Evaluate the performance of AI-drivensystems 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 and .