Sr. Computer Vision / Machine Learning ( Open CV ) Eng


San Diego, CA

Industry: Business Services


5 - 7 years

Posted 394 days ago


KforceTechnology is currently seeking a Senior Computer Vision/Machine Learning (Open CV) Engineer to join a highly innovative San Diego, CA based company. This position is responsible for finding solutions and improving performance on many aspects. You will work closely with the software engineers, product managers, and the QA team to come up with the best outcomes. Please submit your resume to find out more about this great opportunity.



  • MS/PhD in CS/EE, related technical field or equivalent practical experience
  • 5+ years of work experience in an applied research setting
  • Strong technical expertise in C++ programming
  • Experience implementing algorithms in Computer Vision and/or Machine Learning
  • Build cutting edge computer vison/machine learning systems
  • Professional experiencing in solving computer vision solutions related to image processing, object recognition and classification
  • Excellent knowledge of theory and practice of computer vision methods
  • Understanding of OOP Concepts and Design Patterns
  • Experience with performance and code and memory profiling tools and practices


  • Experience with OpenCV and/or other Computer Vision libraries
  • Proven experience using scale invariant descriptors, machine learning, high-dimension classifiers, CNN, DNN
  • Experience with OCR and document lifecycle management
  • Experience with build and configuration tools such as Make, CMake
  • Understanding of Multi-threading, concurrency, parallelism and synchronization
  • Experience developing systems based on user stories
  • Experience leading software design working sessions
  • Expertise with unit, integration, and system test paradigms
  • Experience with C#/.Net
  • Experience with HTML and JavaScript and SPA's (Single Page Web Applications)
  • Experience with Agile/Scrum methodology
  • Comfort and familiarity with producing and writing customer facing documentation

JobID: 1594709-WQG