\nRadical Convergence is looking for extraordinary people who want to join an amazing team and solve big problems for our customers. We are seeking a Machine Learning Engineer to work collaboratively with highly talented team members to create a best-in-class software application. The ideal candidate has experience applying state of the art machine learning algorithms and deep learning frameworks to perform classification, detection, key attribute extraction and other deep learning techniques against multimedia content (i.e. images, videos). The ideal Candidate will also have strong software development skills and scripting experience to prototype algorithms and models working with a team of engineers to productize offerings. \n\nQualifications\n\n\n* 3+ years experience in selecting or developing algorithms for performing a variety of machine learning and computer vision tasks with demonstrable experience\n\n* \n\n3+ years experience in applying and adapting the latest research in machine learning and computer vision to support business objectives including prototype development and product integration.\n\n\n* \n\n3+ years experience performing model training / algorithm development optimizing for speed, size or accuracy and developing / refining new and existing training sets as required.\n\n\n* \n\n5+ years experience designing, developing, enhancing, debugging and implementing software and algorithms using programming languages such as Java, C++, Python, R, or JavaScript.\n\n\n* \n\nProficiency in Machine Learning processes such as feature extraction, statistical approaches, linear and non-linear classifiers, and deep learning including one or more approaches such as Convolutional Neural Networks, Recurrent Neural Networks, Recursive Neural Networks, or Generative Adversarial Networks.\n\n\n* \n\nExperience with deep learning frameworks such as Caffe, TensorFlow, or Torch\n\n\n* \n\nProficiency in in Image Processing, Image Analysis, and/or Computer Vision\n\n\n* \n\nAbility to work independently, in a SCRUM-like environment with strong desire to push your ideas into production, overcoming obstacles, in order to deliver impact. \n\n\n\n\n\nCompensation depends on candidate's experience with relevant machine learning qualifications. Onsite preferred though with the right candidate will consider remote.