Machine Learning Engineer

As a Computer Vision Engineer, you will be part of our AI Team working on revolutionizing the world of sport using our new Computer Vision innovations.
What You'll Do:

• Develop and implement the most innovative computer vision solutions on sports video data, which include body-pose estimation
• Deploy computer vision systems in the field by writing production code
• Work with back-end and front-end developers as well as the product team
• Keep current with latest trends and technologies, to continually improve computer vision systems

What You'll Need:

• Bachelors, Masters or PhD in Computer Science or related quantitative field
• Strong software, hardware, and systems development understanding
• Programming fluency in C/C++ and Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT
• General understanding of computer vision concepts (multiview geometry, bundle adjustment, SLAM etc)
• Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch
• Excellent verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information, and provide advice to management
• Knowledge of H264 & MPEG4 video standards, and experience with hardware compression engines