Metropolis is seeking a highly motivated intern to conduct research in the area of data augmentation and generative adversarial networks. The candidate will collaborate with machine learning team to design and implement neural network models and present the results. 

Requirements:

  • Master or PhD students in machine learning and computer vision area

  • Demonstrated research experience in Generative Adversarial Networks, like CycleGAN, DCGAN, Pix2Pix GAN, etc

  • Fluent with Python, and deep learning framework, Tensorflow/PyTorch/MxNet

  • 1+ year experience with basic computer vision algorithms, image processing, feature extraction with OpenCV

  • Familiar with modern software design, development, version control, refactoring and testing

  • Excellent written and verbal communication skills

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