Microsoft Principal Researcher - Artificial Specialized 

Taiwan, Taoyuan City 

661195367

in the vibrant city of Vancouver, BC, Canada, our labon a mission to transform the future of artificial intelligence by bridging the gap between

Principal Researcherin the area of
Artificial Specialized Intelligencewith a keen interest in developinglarge foundation models and post-training techniques for different domains and scenarios.

At the Vancouver Lab, we focus on deeply integrating intelligent systems across every layer of computing—from infrastructure to the physical environment. Our goal is to solve complex, real-world challenges with precision, scalability, and cost-efficiency. This means working at the intersection of AI, human interaction, and environmental context through a dynamic, co-evolutionary process.

Required Qualifications:

• Doctorate in relevant field AND 3+ years related research experience

• OR equivalent experience.

• 3+ years experience in research related to Artificial Intelligence or Machine Learning.

Preferred Qualifications:

• Doctorate in relevant field AND 5+ years related research experience

• OR equivalent experience.

• Experience publishing academic papers as a lead author or essential contributor.

• participatingin 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 latestlargemodel training/inferencetechnologysuch asinstructionfinetuning,Reinforcement Learning (RL) and Reinforcement Learning with Hindsight Experience Replay (RLHF),processedand self-rewardmodeling,low-precision training/inference, etc.

• A track recordof 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.

Research Sciences IC5 - The typical base pay range for this role across Canada is CAD $142,400 - CAD $257,500 per year.

Find additional pay information here:

• cutting-edgeresearch 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 andmaintainresearch 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.

• expertiseto foster a culture of innovation and continuous learning within the team.

• Embody our and .