Qualified candidates will use their Deep Learning knowledge in the Computer Vision field to design and implement algorithms on Apps. Use collected image data to design, implement, and evaluate deep neural networks (convolutional neural networks and recurrent neural networks) that can replace or work together with traditional computer vision algorithms (e.g., interest point detection, descriptor computation, bundle adjustment, structure from motion). The ideal candidate should have experience with large-scale supervised learning, fully-convolutional neural networks, and neural network architecture design.