Senior Researcher – Artificial Specialized Intelligence, Microsoft Research

Microsoft; Vancouver; On-site; CAD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a passionate AI researcher to drive innovation in large foundation models. This role involves conducting cutting-edge research, collaborating with cross-functional teams, and developing prototypes that push the boundaries of AI technology. You will have the opportunity to publish your findings in top-tier conferences and contribute to the advancement of AI systems. If you are excited about exploring the frontiers of artificial intelligence and have a strong background in research, this position offers a unique opportunity to make a significant impact in the field.

Qualifications

• Doctorate in computer science or relevant field required.
• Experience in publishing academic papers preferred.

Responsibilities

• Conduct research in large foundation models and their applications.
• Collaborate with teams to integrate AI solutions into systems.

Skills

Research in AI

Collaboration

Software Development

Publishing Research

System Architecture

Large Model Training

Education

Doctorate in Computer Science

Equivalent Experience

Job description

Responsibilities

• Conduct cutting-edge research in large foundation models, focusing on applying these models in specific domains.
• Collaborate with cross-functional teams to integrate solutions into AI-driven systems.
• Develop and maintain research prototypes and software tools, ensuring they are well-documented and follow best practices in software development.
• Publish research findings in top-tier conferences and journals, and present work at industry events.
• Collaborate with other AI researchers and engineers, sharing knowledge to foster innovation and continuous learning within the team.

Qualifications

Required Qualifications:

• Doctorate in computer science or a relevant field, or equivalent experience.

Preferred Qualifications:

• Doctorate in a relevant field with 2+ years of related research experience, or equivalent experience.
• Experience publishing academic papers as a lead author or essential contributor.
• Participation in top conferences in relevant research domains.
• Background in system architecture, including experience with hardware, software, and networking technologies.
• Deep knowledge of large model training/inference technologies such as instruction fine-tuning, Reinforcement Learning (RL), RLHF, processed and self-reward modeling, low-precision training/inference, etc.
• Research publications in AI or system innovation are a plus.
• Keen interest in general AI research, including large foundation models and artificial specialized intelligence.