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Research Intern - Multimodal Language Models
Microsoft Corporation
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Redmond, United States
Location
Redmond
Posted
June 06, 2026
Commute
Local Area
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Job Description
**Overview**
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.
We are seeking a Research Intern to explore innovative approaches for building **efficient multimodal language models** . The role will focus on techniques such as model compression, quantization, and model optimization for efficient deployment on resource-constrained platforms. You will work on training strategies to enhance performance and scalability across vision-language tasks. Responsibilities include prototype implementations, designing experiments, analyzing results, and contributing to research that pushes the boundaries of efficiency in AI systems. Ideal candidates should have a ...
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.
We are seeking a Research Intern to explore innovative approaches for building **efficient multimodal language models** . The role will focus on techniques such as model compression, quantization, and model optimization for efficient deployment on resource-constrained platforms. You will work on training strategies to enhance performance and scalability across vision-language tasks. Responsibilities include prototype implementations, designing experiments, analyzing results, and contributing to research that pushes the boundaries of efficiency in AI systems. Ideal candidates should have a ...