AI Engineer

Volkswagen of America, Inc is represented at the Innovation & Engineering Center California, where they focus on applied research and development for the Volkswagen Group. The AI Engineer will apply machine learning and deep learning to various automotive applications and will be responsible for software development, testing, and documentation. Responsibilities: Maintains, as well as furthers, enhances existing machine learning modules; Designs and implements new machine learning based approaches based on existing frameworks; Keeps up to speed with the state of the art of academic research and technology in the industry; Transfers technologies and solutions to Volkswagen Group; Integrates new software modules into the framework; Tests developed modules in the prototype (unit tests, integration tests, in-vehicle/field tests, etc.); Analyzes and evaluates conducted tests; Develops technical specifications and documentation Qualifications: 5+ years of relevant work experience; Master's Degree in Computer Science or equivalent; Strong communication skills - ability to explain complex technical topics to non-experts; Team player with good collaboration and integration skills – joining people, processes and systems; Highly innovative and capable of seeing problems and potential solutions in a new light; Able to work in a dynamic, multi-disciplinary, time-line and target oriented work environment; Problem solving skills; Analytical skills; Conceptual thinking skills; Background in Deep Neural Network Learning, Computer Vision and Machine Learning; Strong programming skills with Python and TensorFlow on desktops, embedded and distributed backends (e.g. AWS); Experience with data gathering, data quality, system architecture, coding best practices; Take initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environment; Extracting high level logical structure from low level, multi-dimensional data; Experience with CNNs, RNN, LSTMs and the latest research trends; Specification/Documentation of interfaces between software modules Required Skills: Deep Neural Network Learning, Computer Vision, Machine Learning, Python, TensorFlow, AWS, Data gathering, Data quality, System architecture, Coding best practices, CNNs, RNN, LSTMs, Software specification, Graphical Models, Object Detection, Natural Language Processing, Scene Understanding, Automotive Engineering, C++, CUDA, OpenCV, Matlab, Big Data, Cloud computing, GPU Programming, Innovation, Analytical skills, Conceptual thinking