Senior Researcher – Artificial Specialized Intelligence

1 Month ago • 2 Years + • Artificial Intelligence

Job Summary

Job Description

Microsoft Research seeks a Senior Researcher in Artificial Specialized Intelligence in Vancouver, BC, Canada. 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 research prototypes, publishing research findings, and presenting work at industry events. The ideal candidate will have a doctorate in a relevant field, experience publishing academic papers, and a deep understanding of large model training/inference technologies (instruction finetuning, RL, RLHF, etc.).
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:
  • 2+ years related research experience
  • Experience in top conferences
  • Background in system and architecture
  • 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 Canada is CAD $108,100 - CAD $199,700 per year.

Find additional pay information here:


 

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

 

 

 

#Research

 

 

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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