Researcher – Systems and Networking, Microsoft Research

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

We are currently seeking Researcher in the area of Systems and Networking located in Vancouver, British Columbia, with a keen interest in exploring advanced Artificial Intelligence (AI) - driven methods for system, thereby expediting overall system innovation.  This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of those areas.   
 
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 impacting millions of lives and propelling Microsoft to the forefront of digital transformation. 

Required Qualifications:

• Master's Degree in relevant field AND 1+ year(s) related research experience 
   OR equivalent experience. 

Preferred Qualifications:

• Doctorate in relevant field
  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 is a plus. 

Research Sciences IC3 - The typical base pay range for this role across Canada is CAD $79,600 - CAD $153,000 per year.

Research Sciences IC4 - The typical base pay range for this role across Canada is CAD $104,000 - CAD $193,200 per year.

Find additional pay information here:

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

• 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 other researchers and engineers in their research and development efforts. 
• Collaborate with industry partners and academic institutions to drive joint research projects and initiatives.