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Research Intern - Model Optimization and HW Acceleration

United States, Redmond 5610.00 - 11010.00 USD / Month · Job Posted April 23, 2026
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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. The Applied Sciences Group (ASG) is seeking a highly motivated and talented PhD student to join our team as a Research Intern. This internship offers a unique opportunity to work on cutting-edge research in the fields of Large Language Models (LLMs), Vision-Language Models (VLMs), LLM/VLM based agents, and Generative Image & Video. The successful candidate will collaborate with a team of experienced researchers and engineers to tackle real-world challenges and contribute to the advancement of AI technologies.

Job Responsibility

  • Conduct research in one or more of the following areas: LLMs, VLMs, and Generative Image & Video
  • Design and implement experiments to test new hypotheses and validate research findings
  • Develop and optimise algorithms and models for various AI applications
  • Collaborate with team members to integrate research outcomes into practical solutions
  • Present research findings to the team and contribute to publications and patents

Requirements

  • Enrolled in a full time bachelor's, master's, MBA, or PhD program in computer science, computer engineering, electrical engineering, or a related field during the academic term immediately before their internship
  • At least one additional quarter/semester of school remaining following the completion of the internship
  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
  • Submit a minimum of two reference letters, a cover letter, and any relevant work or research samples

Nice to have

  • First-author publication(s) at top-tier venues or demonstrably comparable research impact
  • Experience with emerging memory technologies such as CXL based memory
  • Clear communication, self-motivated, curiosity, and a bias for hands-on experimentation
  • Interpersonal skills, cross-group, and cross-culture collaboration
  • Familiarity with computer systems' architecture, cache and memory hierarchy

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