Machine Learning Engineer

TEG Staffing, Inc.
TEG Staffing, Inc.

Job Overview

Machine Learning Software Engineer The Machine Learning Engineer will be spearheading the development of next-generation display interfaces. Description Technical professionals are defined by what they create. Millions of people all over the world use our products every day to work, to communicate and to enjoy. We are currently recruiting world-class engineers who want to shape the future smart display technology and thrive in a fast-paced, results-driven environment. You will get the best of both worlds ndash you will have the creative start-up environment to research leading-edge technologies while your projects have the potential to translate to real products. Yoursquoll also collaborate with other RD labs in Silicon Valley and around the world. Responsibilities Participate in cutting edge research in machine learning for Industrial AI applications. Apply expert software development skills to a wide range of ML-related coding projects Develop solutions for real world problems Qualifications MS degree in Computer Science, Computer Engineering or a related technical discipline. 8+ years of experience in software development with machine learning Expertise and experience in computer vision (feature extraction, segmentation, color, shape and texture analysis, object detection). Specific computer vision skills in object detection, and classification is plus. Expertise and experience is learning algorithms (multi-class classifications, decision trees, support vector machines and deep learning) Excellent programming skills in C, C++, andor Python Prior working experience in OpenCV, Scikit-learn, and deep learning frameworks (Tensorflow, Pytorch, Keras andor Mxnet). High levels of creativity and quick problem solving capabilities Proven track record of achieving significant results Good communication skills, able to clearly articulate the problem statements and the solution approach Desired Skills PhD degree in Computer Science, Computer Engineering or a related technical discipline 4+ years of experience applying machine learning to solve real-world problems Experience in adapting standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Experience in implementing and optimizing image processingcomputer vision algorithms. Experience working with large volumes of real-world noisy image data A willingness to dive deep, experiment rapidly and get things doneMachine Learning Engineer 1

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