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Senior Researcher – Systems and Networking, Microsoft Research

Microsoft

Vancouver

On-site

CAD 60,000 - 80,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Senior Researcher in Systems and Networking to explore advanced AI-driven methods for system innovation. This role offers the chance to conduct impactful research while collaborating with diverse teams to drive innovation in AI technologies. As a key contributor to the research agenda, you will develop new methodologies and algorithms, mentor junior researchers, and publish findings in prestigious venues. Join a forward-thinking organization that is at the forefront of digital transformation, where your work will positively impact millions and shape the future of technology.

Qualifications

  • Doctorate in computer science or relevant field is required.
  • Experience publishing academic papers and participating in conferences.

Responsibilities

  • Conduct research on AI-driven system methods and technologies.
  • Collaborate with teams to develop innovative AI-driven solutions.

Skills

Artificial Intelligence (AI)
Machine Learning
Systems and Networking
Research Publication
Database Management
Networking Technologies

Education

Doctorate in Computer Science
Equivalent Experience

Tools

Vector Databases
AI-driven Systems

Job description

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 innovation. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications in 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
  • 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 systems, databases, and networking technologies
  • Deep knowledge about the latest technical advancements such as Agent Systems, Vector Databases, and ML Systems
  • A track record of published research in the field of AI-driven system innovation is a plus

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 junior 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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