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Principal Researcher - Artificial Specialized Intelligence - Microsoft Rese at Microsoft

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Large Foundation Models, Software Development, Research Prototypes, Documentation, Publishing Research, Collaboration, System Architecture, Computer Hardware, Networking Technologies, Reinforcement Learning, Instruction Finetuning, Low-Precision Training, Self-Reward Modeling, Continuous Learning, Innovation

Industry

Software Development

Description

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. Embody our culture and values. Doctorate in relevant field AND 3+ years related research experience 3+ years experience in research related to Artificial Intelligence or Machine Learning. 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 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.

Responsibilities

Conduct cutting-edge research in large foundation models and collaborate with cross-functional teams to integrate solutions into AI-driven systems. Develop and maintain research prototypes and software tools, ensuring adherence to best practices in software development.