Computer Vision Research Engineer


  • Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for object detection/ classification/ tracking, face recognition, scene understanding, and activity recognition applications
  • Analyze and optimize image understanding performance on diverse multi-sensor data sets.
  • Design and architect practical systems for solving challenging image understanding problems
  • Work closely with an entrepreneurial team of experienced computer vision researchers and software engineers to successfully execute R&D projects and continue to grow our business base.


  • Strong programming experience with Python, C/C++, Java, and MATLAB
  • Strong experience with OpenCV or background in computer vision, image processing algorithms, machine learning, neural networks.
  • Analysis and optimization of algorithms.
  • Knowledge of Object detection, semantic segmentation, face recognition and feature extraction algorithms
  • Experience with Deep Learning concept, and tools
  • Working knowledge of GPU programming & optimization
  • Knowledge of video coding standards such as MPEG4, H264, and H265.
  • Previous working experience in software product development
  • Experience working with ffmpeg, VLC or other video and imaging tools.
  • Familiarity with integration, testing, and software product life cycle is important. Previous working experience in computer vision algorithm development is highly recommended.


  • 3-5 years of experience in a relevant field.
  • PhD, Masters, or bachelor level degree in computer vision or related fields
  • Has the ability to analyze data, identify/define business rules and implement transformation logic necessary to move data.
  • Understands object-oriented analysis and design techniques.
  • Creative problem-solving skills and ability to effectively communicate and translate feedback, needs and solutions
  • Strong teamwork orientation and the ability to foster collaboration within and across teams
  • Excellent work ethic and strong sense of ownership of end-results.
Interested candidates are required to send their most updated CV supported with a cover letter to