Join a dynamic team that carries out applied research in Machine Learning/Artificial Intelligence and designs, develops and deploys state of the art ML/AI algorithms for a variety of applications. Geared towards a passionate professional interested in making an impact on the development of existing and next-generation ground and aerial-based AI/ML technologies for a variety of industries including electric power, oil & gas, aerospace, automotive, and space applications. Contribute new ideas, approaches, and techniques during project meetings. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. Combine broad and deep knowledge of relevant research domains with the ability to synthesize a wide range of requirements to make significant contributions to the feature roadmap for the applied machine learning platform. Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, embedded systems, and GPU).
Requires a BS degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 0-5 years of experience. Must have at least a 3.25 GPA. Must have course work or experience in one or more of the following: machine learning, artificial intelligence, data science, data analytics / big data. Experience in Python and/or C/C++ preferred. Experience with deep learning, computer vision, Caffe, R, TensorFlow, Spark, Linux, openCV is a plus. Interest and/or experience in working with hardware is a plus. Excellent verbal and written communication skills required. Must be able to work in team environments as well as independently. Must have excellent problem-solving skills and be driven by challenging problems. Must have organizational skills with a strong attention to detail, an aptitude for continuous learning, and an interest in project leadership. Occasional travel is required. A valid/clear driver's license is required.
This position requires passing the test.