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Microsoft Researcher – Artificial Specialized Intelligence Microsoft Research 
Canada, British Columbia, Vancouver 
27466262

16.07.2024
Qualifications

Required Qualifications:

  • Master's Degree in relevant field AND 1+ year(s) related research experience
    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 IC3 - The typical base pay range for this role across Canada is CAD $79,600 - CAD $153,000 per year.

Research Sciences IC4 - The typical base pay range for this role across Canada is CAD $104,000 - CAD $193,200 per year.

Find additional pay information here:

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.