Senior Researcher – Systems and Networking, Microsoft Research

Microsoft Corporation; Vancouver; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

Microsoft Research is seeking a Senior Researcher in Systems and Networking in Vancouver, BC. This role involves conducting cutting-edge research in AI-driven system innovation, collaborating with diverse teams, and mentoring fellow researchers. Candidates should possess a Doctorate in computer science and a strong background in systems and networking.

Qualifications

• Doctorate in relevant field AND 2+ years of related research experience preferred.
• Experience publishing academic papers as a lead author or essential contributor.
• Background in systems and networking, including machine learning systems.

Responsibilities

• Conduct research on AI-driven system methods and technologies.
• Develop and implement new methodologies and algorithms for AI-driven systems.
• Collaborate with cross-functional teams to drive innovative AI solutions.

Skills

Research

Artificial Intelligence

Machine Learning

Systems and Networking

Collaboration

Education

Doctorate in computer science or relevant field

Job description

Senior Researcher – Systems and Networking, Microsoft Research

Date posted : Feb 19, 2025

Job number : 1809577

Work site : Up to 50% work from home

Travel : 0-25%

Role type : Profession - Research, Applied, & Data Sciences

Employment type : Full-Time

Overview

Microsoft Research (MSR), a leading industrial research laboratory, is 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.

Over the past 30 years, our scientists have conducted world-class computer science research and 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

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 the 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 Database, 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 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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