R&D Computer Vision Lead


  • Lead a highly motivated team of R&D AI Team.¬†
  • Development and Integration of computer vision using deep learning.
  • Research of new computer vision methods and applications using deep learning and other AI technologies.


  • B.Sc. Degree in Computer Science or Engineering & M.S. preferred.
  • Experience leading applied research team with dated deliverables.
  • At least 7-10 years research experience using Tensorflow, TensorRT, Matlab, Cafe or similar tools.
  • Research experience in computer vision/video analytics models and knowledge of detection, tracking, recognition and analytics.
  • Training experience of deep learning models for computer vision algorithms on neural networks.
  • Strong background in image processing, machine learning, neural networks, optimization algorithms.
  • Knowledge of Object detection, people count, face recognition, anomaly detection, video search and feature extraction algorithms.
  • Working knowledge with GPU programming & optimization techniques.
  • Good programming knowledge of C/C++, python and Java.¬†

Good To Have

  • Exposure to OpenVino optimization is a plus
  • Exposure to Nvidia Metropolis, DeepStream and other tools is a plus.
  • Working experience with computer vision open-source models.
  • Performance optimization experience to reduce the amount of hardware used by an AI model.
  • Exposure to OpenCV, ffmpeg, or other video and imaging tools.
  • Knowledge of video coding standards such as MPEG4, H264, and H265.
Interested candidates are required to send their most updated CV supported with a cover letter to careers@avidbeam.com