Research Intern - HoloLens and Mixed Reality Team


Redmond, WA
Jan 29

Company Description:

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

We do business in 170 countries and are made up of 144,000 passionate employees dedicated to fulfilling our mission of helping you and your organization achieve more.

Job Description:

Virtual Internship

Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship.

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. Our researchers and engineers 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 Environment Understanding (EU) team is building core computer vision (CV) technologies underlying Mixed Reality devices and cloud services at Microsoft. We work on fundamental topics ranging from real-time tracking, mapping and localization to object recognition and semantic scene understanding. We continue to advance the state of the art in computer vision, AI and deep learning. As across the rest of Microsoft, we firmly believe in developing responsible AI systems, which fosters an inclusive approach to designing technologies that empowers everyone to achieve more. Interns will have the opportunity to make a real contribution to our team’s impact on the world.


Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, students are paired with mentors and expected to collaborate with other 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.


In addition to the qualifications below, 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.

Required Qualifications

  • Must be accepted or currently enrolled in a PhD program in Computer Science or related STEM field.
  • Must have at least 2 years of research experience in computer vision and machine learning.
  • Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship

Preferred Qualifications

The ideal candidates have been doing research on the following topics, and meet one or more of the qualifications listed below:

Research Topics:

  • SLAM, long-term camera localization.
  • Learning local features, camera pose estimation, multi-view geometry.
  • Deep learning for computer vision.
  • 3D representation learning.
  • Geometric deep learning for multi-modal data (images, point clouds, meshes).
  • Datasets for scene understanding, mapping and localization (ScanNet, SUNRGBD, etc.)


  • Algorithmic problem-solving and programming skills (Python, C++, etc.).
  • Tools and libraries (PyTorch, Tensorflow, OpenCV, etc.).
  • Open-source software (COLMAP, Open3D, Theia, etc.).
  • Publication(s) in top-tier conferences (CVPR, ECCV, ICCV, ICRA, IROS, NeurIPS, ICLR, ICML, etc.).
  • Excellent communication and writing skills.




Redmond, WA



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