Research Intern - AI-Driven System Design at Microsoft

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, System Design, NLP, LLMs, Computer Vision, Research, Prototyping, Performance Optimization, Interdisciplinary Collaboration, Publication, Machine Learning, Mathematics, Intelligent Systems, Innovation, Development, Scalability

Industry

Software Development

Description

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Conduct research on state-of-the-art AI-driven system methodologies and identify new opportunities to enhance system design from multiple perspectives. Leverage interdisciplinary expertise across NLP, LLMs, computer vision, and related domains to accelerate innovation in AI-driven systems. Develop, prototype, and optimize novel techniques or frameworks that improve the performance, efficiency, and scalability of AI-powered systems. Disseminate research findings through publications in peer-reviewed journals, top-tier conferences, and other relevant venues, and present results both internally and externally. Currently enrolled in a Master, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field. Stay up to date with the latest developments across systems, large language models, multimodality, and related domains. Possess programming skills, including rapid prototyping, efficient implementation, and performance optimization. Demonstrate an insightful understanding of intelligent systems and their underlying principles. Experience with LLM pre-training or post-training is a strong advantage. Open-minded and receptive to new ideas and interdisciplinary approaches. Proven publication record in top-tier venues such as OSDI, SOSP, ICML, NeurIPS, ICLR, CVPR, and ACL.

Responsibilities

Research Interns conduct research on AI-driven system methodologies and collaborate with mentors and peers. They are expected to present findings and contribute to the research community.