Computer Vision Researcher

Team Description: Our 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.
Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and AAAI); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities in the past five years and maintains active involvement in major vision conferences.
About the projects:Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations.  You will have the opportunity to contribute your skills to projects of national and societal importance. Research and Developer Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work. We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs

In This Position You Will:

• Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
• Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
• Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:

• PhD in Computer Science or related field
• Strong publication record in top-tier research publications and conferences
• Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
• Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
• Candidates should include a detailed list of publications as part of their resume/CV

Preferred Qualifications:

• Experience with deep learning methods is desirable, but not required
• Experience with geospatial coordinates systems and transformation is desirable, but not required

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 is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.
Kitware 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.