Senior Researcher – Artificial Specialized Intelligence

1 Month ago • 2 Years + • Artificial Intelligence • $117,200 PA - $250,200 PA

Job Summary

Job Description

Microsoft Research seeks a Senior Researcher in Artificial Specialized Intelligence in Vancouver, BC. The role focuses on developing cutting-edge large foundation models and post-training techniques for various domains. Responsibilities include conducting cutting-edge research, collaborating with cross-functional teams to integrate solutions into AI-driven systems, developing and maintaining research prototypes, publishing research findings, and presenting work at industry events. The ideal candidate will have a doctorate in computer science or a relevant field, experience publishing academic papers, and deep knowledge of large model training/inference technology. This is a full-time position offering a competitive salary and benefits.
Must have:
  • Doctorate in Computer Science or related field
  • Experience publishing academic papers
  • Deep knowledge of large model training/inference technology
  • Collaboration with cross-functional teams
Good to have:
  • Experience with RLHF, low-precision training
  • Background in system and architecture
  • A track record of published research in AI

Job Details

Overview

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  Artificial Specialized Intelligence located in Vancouver, British Columbia, with a keen interest in developing cutting-edge large foundation models and post-training techniques for different domains and scenarios. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of 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 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 large model training/inference technology such as instruction finetuning, Reinforcement Learning (RL) and Reinforcement Learning with Hindsight Experience Replay (RLHF), processed and self-reward modeling, low-precision training/inference, etc. 
  • 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 and artificial specialized intelligence.  

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

 

Responsibilities

  • Conduct cutting-edge research in large foundation models, focusing on applying large foundation models in specific domain. 
  • Collaborate with cross-functional teams to integrate solutions into Artificial Intelligence (AI) -driven system. 
  • Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development. 
  • Publish research findings in top-tier conferences and journals and present your work at industry events. 
  • Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team. 

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