Senior Researcher - Systems and Networking, Microsoft Research

Microsoft Microsoft · Big Tech · Vancouver, BC +1 · Research Sciences

Senior Researcher in Systems and Networking at Microsoft Research, focusing on AI-driven methods for system innovation, performance, efficiency, and scalability. The role involves developing and implementing new methodologies, collaborating with cross-functional teams, and publishing research findings. Requires a Doctorate and background in systems/networking with knowledge of ML systems, databases, and networking technologies, including Agent Systems and Vector Databases.

What you'd actually do

  1. Conduct research on state-of-the-art AI-driven system methods and technologies to identify opportunities for system innovation and acceleration.
  2. Develop and implement new methodologies, techniques, and algorithms for improving the performance, efficiency, and scalability of AI-driven systems.
  3. 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.
  4. 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.
  5. Evaluate the performance of AI-driven systems and provide recommendations for improvement and optimization.

Skills

Required

  • Doctorate in computer science or relevant field
  • Systems and networking background
  • Machine learning system knowledge
  • Database knowledge
  • Networking technologies knowledge

Nice to have

  • 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
  • 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

What the JD emphasized

  • Doctorate in computer science or relevant field
  • Experience publishing academic papers as a lead author or essential contributor
  • Experience participating in a top conference in relevant research domain
  • 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.

Other signals

  • AI-driven system methods
  • AI, machine learning, and system architecture
  • Agent Systems, Vector Database, and ML Systems