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Research Intern - Computer Vision and Deep Learning

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. If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group. We are working all ways that ML and artificial intelligence (AI) can improve Windows user experience: capture better videos, enable augmented reality (AR) features for tele-conferencing and understand user’s gestures and environments. Are you itching to play a part in bringing applications of computer vision to millions? Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Job Responsibility

  • Research Interns put inquiry and theory into practice
  • collaborate with other Research Interns and researchers
  • present findings
  • contribute to the vibrant life of the community

Requirements

  • Currently enrolled in a Master or PhD program in Computer Science or a related STEM field
  • Demonstrated publication record in top-tier vision or ML conferences (CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, IJCAI, 3DV) and journals (IEEE/ACM Transactions, IJCV)
  • Comprehensive Deep Learning, algorithmic and software engineering background
  • Experienced in video-focused computer vision tasks, e.g. frame interpolation, video super-resolution, and video frame generation

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