Computer Vision Research Internship

Remote, USA

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Team Description: Kitware, Inc. is actively seeking Computer Vision Research Interns to join our Computer Vision Team. Kitware’s Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.
About the Projects: Interns will be able to explore their own ideas to address challenging real-world computer vision problems, and will be encouraged to publish the results of their work in academic papers submitted to premier conferences. In addition, interns can also focus on contributing high-quality software to the KWIVER platform, an exciting, open source, and versatile platform for computer vision research and development. We consider the work that we do on our government contracts one of the ways that we give back to the community. We relish the opportunity to work on hard problems that have a direct impact on the health, safety and security of our community; our team members choose Kitware instead of working in large internet companies to sell web advertisements. One of our core values is to make the technology we develop as broadly available as possible.

In This Position You Will:

  • Be part of Kitware's overall mission of positive social impact through environmental monitoring, national and global security, ethical AI, open science, scientific computing and medical computing. 
  • Algorithms: Deep learning and other computer vision methods for object detection, change detection, scene classification, event/activity recognition, 3D reconstruction from aerial imagery, video/image understanding, video/image search, and indexing, etc.
  • Data: Images and videos from ground, handheld, aerial, or satellite cameras.
  • Infrastructure: Opportunity to work on deep learning libraries like Caffe, PyTorch or Tensorflow; large-scale computer vision framework on the cloud; or performance optimization using GPUs, parallel computing, or embedded devices such as NVIDIA’s TX2.

Required Qualifications:

  • Ph.D. students in related fields, including computer vision, machine learning, multimedia, signal processing, imaging science, and applied mathematics. Masters level candidates will be considered but must have at least one publication in a relevant journal or conference.
  • Knowledge and experience in computer vision, machine learning, deep learning (Caffe, PyTorch, Tensorflow, etc.), remote sensing or related areas. 
  • Proficiency in Python or C/C++.
Company DescriptionKitware collaborates with customers to solve the world’s most complex scientific challenges through customized software solutions. Kitware delivers innovation by focusing on advanced technical computing, state-of-the-art artificial intelligence, and full-spectrum software solutions. Since its founding in 1998, Kitware has developed a reputation for deep customer understanding and technical expertise, honest interactions, and open innovation. We are proud to be a 100% employee-owned company. For additional information, please visit You can also follow us on Twitter, LinkedIn, and Facebook.
Additional InformationKitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.
Job perks/benefits: Conferences
Job region(s): North America
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