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Internship

Research Intern - Computer Vision

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Microsoft

2mo ago

🚀 Off-cycle Internship

Redmond

AI generated summary

  • You must be enrolled in a PhD or master's program in computer vision, have a strong publication record in top-tier conferences and journals, and possess comprehensive deep learning skills and experience in low-level vision. You'll need to be physically located at your manager's worksite for the duration of the internship.
  • You will research computer vision and deep learning techniques to improve device understanding of users and environments. Analyze sensor data for human-computer interactions and push the boundaries of the field.

Off-cycle Internship

DataRedmond

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 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? 

Requirements

  • Required Qualifications:
  • Currently enrolled in a PhD or master's program in computer vision or closely related fields.
  • Other Requirements:
  • 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.
  • Preferred Qualifications:
  • 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.
  • Experience in Low Level Vision.

Education requirements

Currently Studying

Area of Responsibilities

Data

Responsibilities

  • Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research 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.
  • We are looking for a computer vision Research Intern with experience in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences’ mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few. Naturally, the opportunity for you to push the state of the art in this field is huge.

Details

Work type

Full time

Work mode

hybrid

Location

Redmond