Magic Leap is an eclectic group of visionaries, rocket scientists, wizards, and gurus from the fields of film, robotics, visualization, software, computing, and user experience. We are growing quickly, and this is the time to get on board and play a role in shaping the way people will be interacting with the world tomorrow.
Perform research, development and implementation of algorithms in one or more of the following fields, applicable to 6DOF controller tracking or hand gesture classification.
Design and implement Deep Learning neural networks
Create data collection specifications and supervise labeling process for DNN training
Performance evaluation of embedded DNN algorithms
Proficient in Deep Learning theories such as CNN, RNN, LSTM, GAN, etc
Hands on experience with deep learning tools such as PyTorch, TensorFlow, caffe, etc
Knowledgeable in linear algebra, statistics, and related mathematics
5+ year experience in C++ programming
5+ year experience in solving computer vision problems such as hand and object tracking, object recognition, sensor fusion, etc.
3+ year experience applying Deep Learning algorithms in solving AI problems
Experience in hand gesture recognition or 6DOF controller development
Experience in Embedded system development and software architecture
10+ year C++ software development in computer vision, machine learning, or related areas
B.S. (Computer Science, or related) or above
Your information will be kept confidential according to Equal Employment Opportunities guidelines.