Senior Researcher – Systems and Networking

44 Minutes ago • 2 Years + • Artificial Intelligence

Job Summary

Job Description

Microsoft Research seeks a Senior Researcher in Systems and Networking in Vancouver, BC, Canada. The role focuses on applying advanced AI methods to improve system innovation. Responsibilities include researching AI-driven system methods, developing new algorithms, collaborating with cross-functional teams, staying current with AI trends, evaluating system performance, publishing research findings, and mentoring other researchers. The ideal candidate will have a PhD in a relevant field and experience publishing academic papers and presenting research. Deep knowledge of Agent Systems, Vector Databases, and ML Systems is highly desired.
Must have:
  • PhD in Computer Science or related field
  • Experience publishing academic papers
  • Systems and Networking background
  • Deep knowledge of AI-driven systems
  • Collaboration and research skills
Good to have:
  • 2+ years of related research experience
  • Experience at a top conference
  • Experience with machine learning systems, databases, and networking technologies
  • Track record of published research in AI-driven system innovation

Job Details

Overview

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 a Senior 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. 

Qualifications

Required Qualifications:

  • Doctorate in computer science or relevant field
    • OR equivalent experience

Preferred Qualifications:

  • Doctorate in 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 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 IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year.

Find additional pay information here: 

 

 

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

 

 

 

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Responsibilities

  • 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. 

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