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Huawei Technologies USA Inc.

Senior Staff Scientist, Graphics and Machine Learning Research

Huawei Technologies USA Inc., Trenton, New Jersey, United States,


Changing the world and user experiences with advanced powerful technologies is what our team is about. We are looking for Senior Staff Research Scientist to work with a diverse group of researchers to innovate and advance novel/SOTA next generation graphics and machine learning solutions and algorithms, pushing forward the research and development of cutting-edge machine learning, computer vision, computer graphics, and ARVR technologies. The ideal candidate is a highly motivated and creative individual with broad knowledge in SOTA machine learning, computer vision, and computer graphics, and with demonstrated ability for new technology research and a proven record of influential publications in related fields. The candidate will play a significant role in developing novel algorithms, innovative system solutions, and open-source prototypes; generating high-value IPRs/patents; and publishing our latest findings in well-known conferences and journals. If you have a passion for solving challenging problems; making significant impact on real-world applications of Machine Learning and Artificial Intelligence technologies, all in a flexible, highly collaborative, but fast paced team, then we’d love to talk to you.

Requirements:• Deep knowledge and hands-on experience in computer vision and computer graphics.• Proven research experiences with SOTA machine learning algorithms and familiarity with ML implementation environments and platforms such as PyTorch and/or Tensorflow.• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment.• Strong programming skills in python or C / C++ for Windows and/or Linux is required.• Experience in working with open-source software frameworks is a plus• Strong written and verbal communication skills, with the ability to present complex technical concepts and testing results effectively• A proven track record of research publications in reputable conferences or journals is highly desirable.• Ph.D. or M.S. in Computer Science / Machine Learning / Statistics, or related technical disciplines.

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