Computer Vision Co-Op Internship

Clifton Park, New York

Applications have closed

Kitware

Through a highly competitive and selective hiring process, we’ve cultivated a team of internationally renowned researchers and developers in advanced technical computing.

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Team Description:Kitware, Inc. is actively seeking Computer Vision Co-Op Interns to join our Computer Vision Team at our Clifton Park, NY headquarters. This is a 6 month internship but has the potential to extend to 8 months. 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:The Computer Vision Group is staffed by a multidisciplinary team of world class experts in computer vision, deep learning, machine learning and software engineering. We do a lot of development in C++ and Python with some Javascript for web clients. We use OpenCV, ROS, Boost, Postgres, Caffe, Theano, VXL and many other open source tools. Kitware develops CMake, VTK, ParaView, ITK, KWIVER and a number of other open-source toolkits.  This is an opportunity to gain experience while contributing to high level complex problems related to Computer Vision, Machine Learning, and Deep Learning.

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 
  • Gain experience while contributing to high level complex problems related to Computer Vision, Machine Learning, and Deep Learning
  • Participate as a team member in project planning and execution. Our sprint meetings provide an opportunity to check in with your teammates and sort out issues together

Required Qualifications:

  • Currently working towards a bachelors degree in Computer Science or related field
  • Some experience programming using C++ or Python
  • Due to contractual restrictions, preference is currently being given to those candidates that are US Persons (citizens, permanent residents, asylees or refugees)
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 kitware.com. 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.
*The resume you submit should highlight technical projects you’ve undertaken either academically or during an internship. We want to know about challenges you faced, how you overcame them and what you learned.

Tags: Caffe Computer Science Computer Vision Deep Learning Engineering JavaScript Machine Learning OpenCV Open Source PostgreSQL Python Research Security Theano

Region: North America
Country: United States
Job stats:  14  2  0

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