Magic Leap is an eclectic group of people who share a magical vision of the future. And we’re growing.
Our mission is to harmonize people and technology to create a better, more unified world. Our vision is to amplify the best parts of you and to advance the human spirit.
Perform research, development, and optimization of algorithms in the fields of Human Computer Interaction, Deep Learning, and Hand Gesture recognition.
Design and implement Deep Learning neural network models for embedded devices
Optimize embedded Deep Learning software to use VLIW or SIMD architecture
Evaluate embedded Deep Learning algorithms for performance and accuracy
Troubleshoot and debug software applications on a daily basis
Write technical documents and manage personal project progress
Participate in reviewing related software code
Contribute to the next-generation product design and system requirement discussion
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+ years of experience in C++ programming
2+ years of experience in solving computer vision problems such as hand and object tracking, object recognition, pose estimation, etc.
2+ years of experience applying Deep Learning algorithms in solving AI problems
B.S. (Computer Science, or related), M.S. or above preferred
All your information will be kept confidential according to Equal Employment Opportunities guidelines
About Magic Leap, Inc.
How It All Began
October 5, 2017
Today, Magic Leap is a company made up of hundreds of artists, engineers, explorers, and dreamers from around the globe, all chasing their curiosity toward the same goal – bringing together the digital and real worlds to advance human potential.
But it all began on a road trip to Austin when we asked the question – “what if computing could spill outside the computer?”