Computer Vision Research Engineer

Responsibilities

  • Developing and evaluating state-of-the-art computer vision algorithms for object detection, tracking, feature extraction and classification from camera input.
  • Implementing, and optimizing hardware accelerated machine learning algorithms in Intel processors as well as special purpose computing architectures, such as GPU. 

Qualifications

  •  Strong programming experience with Python and modern C++ and STL (C++14 – C++20)
  • 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 concepts, and frameworks 
  • 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.
  • Experience in Machine Learning algorithms for vision problems including Deep Learning.
  • Strong programming skills, including performance optimization and multi-threading
  • Knowledge of real-time video analytics pipeline. 

Requirements

  • 3-5 years of experience in a relevant field. 
  • Bachelor or Master’s 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 careers@avidbeam.com