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.
As a Senior, Computer Vision/Machine Learning Engineer, you'll be responsible for designing, analyzing and developing high-performance systems with state-of-the-art computer vision/machine learning capabilities. Your code will be part of the foundations of our large-scale cloud platform that enables the next generation of computing applications for many years to come.
3-4+ years of hands-on experience in machine learning, computer vision, large scale data processing/analytics
MS or PhD in Computer Science, Electrical Engineering or related field
5+ years of Python and C/C++ experience
Outstanding background in algorithm development for inference from large scale visual data
Vigorous end-to-end development of deep learning, data collection and failure analysis
Familiar with key metrics that impact deep learning algorithms
Additional desirable qualifications:
In-depth understanding of deep learning networks and their visualization
Good knowledge of experiment design with key performance measures
Experienced in building infrastructure to enable fast iterations through vast understanding of algorithm requirements
Modern c++ (c++11, c++14, C++17)
Extensive experience with Caffe, Tensorflow, Pytorch or Keras.
Experience working with Computer Vision libraries such as OpenCV is a plus
Knowledge of parallel computing, OpenCL, GPGPU is a plus
MS in CS, EE or similar required. Ph.D. preferred
Your information will be kept confidential according to Equal Employment Opportunities guidelines.