About

Sam Dodge is a highly skilled Machine Learning Engineer with over 5 years of relevant experience in the field. Currently, he is working at Apple as a Machine Learning Engineer, where he is responsible for designing and implementing machine learning models for various Apple products. Sam has a strong background in research and development, with a focus on deep learning and computer vision. Prior to his current role, Sam worked as a Senior Research Scientist at Clarifai, where he was involved in the development of deep learning models for image and video recognition. He also worked as a Research Intern at Rakuten, where he developed an automated parsing system for architecture floorplans using deep learning. His work was accepted as an oral presentation in the Machine Vision Applications (MVA) conference in 2017. Sam holds a Ph.D. in Electrical Engineering from Arizona State University, where he specialized in deep learning and computer vision. He also holds a Master's degree in Electrical Engineering from the same university, along with a Bachelor's degree in Electrical Engineering. Throughout his academic career, Sam has demonstrated a strong aptitude for research and development, with a focus on machine learning and deep learning. Sam has a strong technical background, with expertise in ML, Research Scientist, and Deep Learning. He is skilled in designing and implementing machine learning models for various applications, including image and video recognition, natural language processing, and speech recognition. He is also experienced in developing and implementing deep learning models using Python and TensorFlow. Overall, Sam is a highly skilled Machine Learning Engineer with a proven track record of success in the field. He has a strong academic background, along with extensive experience in research and development. His technical expertise and strong problem-solving skills make him a valuable asset to any organization.