Research Intern - AI-Driven System Design
Microsoft
Research Intern - AI-Driven System Design
Job Description
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.Microsoft Research Asia – Vancouver lab, located in the vibrant city of Vancouver, BC, Canada, our lab represents Microsoft Research Asia’s expansion into the Asia-Pacific region. We’re on a mission to transform the future of artificial intelligence by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact. We are seeking multiple Research Interns working on AI-driven System design, advancing and exploring AI-driven methods for the system design with scalability, precision and cost-efficiency. You will be working with MSR researchers across Vancouver lab, Redmond Lab, Beijing lab and beyond to push forward the boundaries of system design and shape the next generation of intelligent systems. We encourage students with diverse research backgrounds, including but not limited to multimodality, system, architecture, AI4Code, NLP, LLM and computer vision, to apply for this position.
Locations
- Vancouver, British Columbia, Canada, Vancouver, British Columbia, Canada
Salary
Estimated Salary Rangehigh confidence
65,000 - 85,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Currently enrolled in a Master, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field. (degree)
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.In addition to the qualifications above, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. (degree)
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. (degree)
- Stay up to date with the latest developments across systems, large language models (LLMs), multimodality, and related domains. (degree)
- Possess strong programming skills, including rapid prototyping, efficient implementation, and performance optimization. (degree)
- Demonstrate an insightful understanding of intelligent systems and their underlying principles. (degree)
- Experience with LLM pre-training or post-training is a strong advantage. (degree)
- Open-minded and receptive to new ideas and interdisciplinary approaches. (degree)
- Proven publication record in top-tier venues such as OSDI, SOSP, ICML, NeurIPS, ICLR, CVPR, and ACL. (degree)
Responsibilities
- 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.
- Collaborate with researchers at MSR, across Microsoft, and beyond to advance and propel the research process.
Travel Requirements
3 days / week in-office
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Research Intern - AI-Driven System Design
Microsoft
Research Intern - AI-Driven System Design
Job Description
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.Microsoft Research Asia – Vancouver lab, located in the vibrant city of Vancouver, BC, Canada, our lab represents Microsoft Research Asia’s expansion into the Asia-Pacific region. We’re on a mission to transform the future of artificial intelligence by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact. We are seeking multiple Research Interns working on AI-driven System design, advancing and exploring AI-driven methods for the system design with scalability, precision and cost-efficiency. You will be working with MSR researchers across Vancouver lab, Redmond Lab, Beijing lab and beyond to push forward the boundaries of system design and shape the next generation of intelligent systems. We encourage students with diverse research backgrounds, including but not limited to multimodality, system, architecture, AI4Code, NLP, LLM and computer vision, to apply for this position.
Locations
- Vancouver, British Columbia, Canada, Vancouver, British Columbia, Canada
Salary
Estimated Salary Rangehigh confidence
65,000 - 85,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Currently enrolled in a Master, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field. (degree)
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.In addition to the qualifications above, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. (degree)
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. (degree)
- Stay up to date with the latest developments across systems, large language models (LLMs), multimodality, and related domains. (degree)
- Possess strong programming skills, including rapid prototyping, efficient implementation, and performance optimization. (degree)
- Demonstrate an insightful understanding of intelligent systems and their underlying principles. (degree)
- Experience with LLM pre-training or post-training is a strong advantage. (degree)
- Open-minded and receptive to new ideas and interdisciplinary approaches. (degree)
- Proven publication record in top-tier venues such as OSDI, SOSP, ICML, NeurIPS, ICLR, CVPR, and ACL. (degree)
Responsibilities
- 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.
- Collaborate with researchers at MSR, across Microsoft, and beyond to advance and propel the research process.
Travel Requirements
3 days / week in-office
Answer 10 quick questions to check your fit for Research Intern - AI-Driven System Design @ Microsoft.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs