Percepto is looking for an experienced computer vision / deep neural networks researcher to join its multidisciplinary R&D team. Our algorithm team implements, evaluates and improves cutting edge methods, as well as develops proprietary solutions to real world challenges in order to enhance our drone platform capabilities.
Design, implement and train deep neural networks for scene perception problems.
Identify and investigate relevant research publications and open sourced projects.
Define and establish networks training and testing schemes.
Be part of a multidisciplinary team and help define system roadmap and timelines.
MSc/PhD in Computer science / Electrical Engineering / Physics / Mathematics, in the domain of computer vision or machine learning.
At least 3 years of hands on development of algorithms / networks for real world applications.
At least 1 year of hands on experience with production level deep neural networks for computer vision.
Strong programming skills and some experience in Python, OpenCV and Matlab.
Experience with deep learning frameworks such as TensorFlow, PyTorch or Caffe.
Experience in UNIX-like environments.
Strong communication and collaboration skills.
Experience in developing for GPU processing (specifically CUDA) – advantage.
Experience with developing algorithms / networks for embedded devices – advantage.
Experience with 3D geometry and depth sensing – advantage.