● Develop and test convolutional neural network (CNN) architectures for depth estimation and lightfield image processing.
● Deploy CNN on mobile and achieve real-time performance.
● Stay on top of technological advances in deep learning and lightfield imaging.
● PhD or MS in computer vision or machine learning, or equivalent experience.
● Experience building deep learning architectures for commercial products.
● Proficiency in Python (particularly, numpy, scipy, pandas, scikit-image, and scikit-learn) and C/C++.
● A good understanding of the fundamentals and best practices of deep learning.
● Experience with tools such as Caffe, Torch, Theano or TensorFlow.
● Experience with open source vision packages such as PCL and OpenCV.
● Experience with data cleaning, analysis, and developing efficient, accurate data annotation schemes.
● Experience with commercial software development processes: good software hygiene regarding code documentation, unit testing, bug tracking, and version control.
● Familiarity with state-of-the-art CNN architectures such as ResNet, VGG, GoogleNet (Inception), Faster RCNN, and Mask R-CNN.
● Highly motivated, team player with strong technical collaboration skills and desire to learn quickly and develop new skills.
● The desire to be part of a fast-moving start-up and work in a collaborative environment with few rigid boundaries.
● GPU programming experience is a plus.
● Experience with OpenCV
● Experience building and configuring Android OS flavors
14 days annual PTO, Health and Labor Insurance, Flexible working hours, Cozy working space in Taiwan Tech Arena
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