Researcher - Artificial Specialized Intelligence

2 weeks ago

Vancouver, Canada Microsoft Canada Full time

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.

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**:
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**:
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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