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Computer Vision Co-Op Internship
Posted on 9/21/2021
Carrboro, NC, USA
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
  • 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)
  • Be part of Kitwares 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

51-200 employees

Software company for open source software solutions
Company Overview
Kitware's mission is to advance science & technology, empower global innovation and address the world’s challenges. The company specializes in the R&D of open-source software in the fields of computer vision, medical imaging, visualization, and technical software development.
  • 100% Employee Owned
  • Flexible Schedules
  • Generous PTO
  • comprehensive medical, dental and vision insurances
  • Flexible Spending Accounts
  • Disability and ADHD Insurance
  • 401k
  • Immigration and Visa Processing
  • Referral Bonus
  • Tuition Reimbursement
  • Computer Hardware Allowance
Company Core Values
  • Culture: Promote an inclusive and energized environment that emphasizes integrity and teamwork.
  • Growth: Work passionately and creatively to grow personally, professionally, and together as a company.
  • Collaboration: Drive sustainable innovation through collaborative relationships with customers and open source communities.
  • Open Science: Champion algorithms and open source software platforms to accelerate the pace of reproducible research and product development.
  • Impact: Advance scientific understanding for the betterment of humankind.