Microsoft Principal Researcher-Systems & Networking Microsoft Research 

Canada, British Columbia, Vancouver 

26481890

(MSR), a leading industrial research laboratory,over 1,000 computer scientists working across the United States, United Kingdom, China, India, Canada, and the Netherlands.

in the area of,with a keen interest inIntelligence (driven methods for system, therebyoverall system innovation.

Over the past 30 years, our scientists have not only conducted world-class computer science research but also integrated advanced technologies into our products and services, positively

Embody our and

Required/Minimum Qualifications:

• Doctorate in relevant field AND 3+ years related research experience.
• • OR equivalent experience.
• 3+ years’ experience in research related tosystem, architecture, or artificial intelligence

or 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.
• Experienceparticipatingin a top conference in relevant research domain.
• Background in systems andnetworking, including experience withmachine learningsystem,database,and networking technologies.
• Deep knowledge about the latest technical advancements such asAgent Systems,Vector Database,and ML Systems
• A track record of published research in the field of AI-drivensystem innovation is a plus.

Research Sciences IC5 - The typical base pay range for this role across Canada is CAD $132,800 - CAD $247,200 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 ofAI-drivensystems.
• Collaborate with cross-functional teams, including hardware and software engineers, data scientists, and product managers, to drive the development and deployment of innovative AI-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 junior researchers and engineers in their research and development efforts.
• Collaborate with industry partners and academic institutions to drive joint research projects and initiatives.