Machine Learning Engineer

Undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics 1-2 years machine learning experience, either in industry or from personal projects Successfully trained and deployed a deep learning machine model, with measurably improved performance over baseline, either in industry or as a personal project Strong experience with high-level machine learning frameworks such as DLib, YOLO/Darknet, Tensorflow, Caffe, or Torch, and familiarity with the others You know the ins and outs of C++ and Python, especially as it applies to the above ML frameworks You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice You have great communication skills and ability to work with others You are a strong team player, with a do-whatever-it-takes attitude