Venor is looking for a Deep Learning Engineer and Computer Vision Scientist. If that sounds like you, check out the links below.
An excerpt of the Deep Learning Engineer offering:
As the ideal candidate, you possess a MS or PhD degree in computer science with a background in probability theory and statistics. You have a strong understanding of deep learning approaches and models including convolutional neural networks (CNNs), recurrent networks and region proposal networks. You have experience applying deep learning techniques to image tasks such as classification, detection, localization and segmentation. You are comfortable with deep learning libraries such as Tensorflow or Caffe and have experience developing GPU or working with CUDA.
An excerpt of the Computer Vision Scientist offering:
As the ideal candidate, you possess a MS or PhD degree in computer science, graduate research and internship experience in Computer Vision, Machine Learning and/or Image Understanding is preferred. You possess a strong understanding of image processing algorithms and techniques with a background in probability theory and statistics. You are comfortable with deep learning models and have a track record of using ML frameworks (TensorFlow, Caffe, Theano). You are familiar with CUDA, OpenCL, and OpenCV and possess solid programming skills in C++ and/or Python.
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