Staff Computer Vision Engineer

Computer Vision And Machine Learning Solutions Developer

Responsibilities: Responsible for developing computer vision and machine learning solutions and for people monitoring (face detection, 3D pose estimation, object tracking, facial expression recognition, motion estimation, and activity recognition) and understanding of context (internal and external conditions, peoples activities, etc.) in video data Using one or more cameras, create software and system that runs in real time using multiple GPUs both in a simulated lab environment and in real-life application platforms Developing and implementing software modules for a large software architecture Developing simulation software in Oktal and SCANeR

Qualifications: PhD or MS in Computer Science, Electrical Engineering or a related field At least two-year experience in computer vision Essential hands-on experience in developing projects involving deep learning models Projects involving state-of-the-art models including ResNet, Yolo.v2, VGG, etc. object detectors Projects using CNNs, LSTMs, etc. Very strong implementation skills using TensorFlow Library (Keras, Caffe, Theano, PyTorch, MxNet, etc. is also acceptable). Very strong implementation skills in C++, 3+ years of experience Very strong implementation skills in OpenCV Relevant publications at computer vision venues Solid understanding and extensive experience with object detection and object recognition Experience with supervised learning and classification algorithms Well versed in the state-of-the-art in real time 2D and 3D data processing Experience in technologies for autonomous vehicles and relevant technologies for human-machine interaction (HMI) Experience in working with data from RGB cameras, IR cameras, depth cameras Experience operating on large data sets (database experience a plus) Experience with data collection, data labeling, feature design, training, cross-validation, feature down-selection, performance evaluations Experience in code optimization and core reviewing Strong attention to details Highly motivated and able to work as a team player Highly motivated, innovative and enthusiastic Good oral and written communication, interpersonal skills and fluency in English Ability to meet deadlines and commitments in a fast paced environment