Principal Researcher-large Foundation Models - Vancouver, Canada - Microsoft

Microsoft

Verified Company

Vancouver, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Microsoft Research (MSR), a leading industrial research laboratory, comprises over 1,000 computer scientists working across the United States, United Kingdom, China, India, Canada, and the Netherlands.

We are currently seeking

Principal Researcher in the area of

large foundation models and artificial general intelligence located in

Vancouver, British Columbia.

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.

Responsibilities:

Identifying and driving new research directions, creating new technologies and collaborating with Microsoft product groups and external partners to deploy them in realworld settings.
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 AIcentric systems and provide recommendations for improvement and optimization.
Publish research findings in peerreviewed journals, conferences, and other relevant venues, and present research results to internal and external stakeholders.
Mentor and guide researchers and engineers in their research and development efforts.
Collaborate with industry partners and academic institutions to drive joint research projects and initiatives.

Qualifications:

Required/Minimum Qualifications:

Doctorate in relevant field AND 3+ years related research experience
OR equivalent experience.
3+ years' experience in research related to Artificial Intelligence or Machine Learning

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 system and architecture, including experience with computer hardware, software, and networking technologies.
Deep knowledge about the latest technical advancements such as AI and related system
A track record of published research in the field of AI or other system innovation is a plus.
Keen interest in general AI research, including but not limited to large foundation models.