Principal Researcher-Systems & Networking, Microsoft Research

Key Skills

Aartificial intelligence, Database, Design, Infrastructure as code, Machine learning techniques, Optimization, Planning and organization

Job Description

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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Embody our Culture and Values

Qualifications

Required/Minimum Qualifications:

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

Additional 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.
• 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 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:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

research

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.