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Senior Research Engineer, Applied Machine Learning at Huawei Technologies (San Diego, CA)

About Project:

O-Lab Cyberspace project at Huawei aims to establish a digital world that is seamlessly integrated and parallel to the real world, and to bridge the gap between digital world and real world. This will change our living and working style in the future.

  • Res
  • po

    nsibilities: You

    w
    • ill be responsible with establishing an AI engine for content generation and adaption of AI technologies for cyberspace applications Devel

    • op cutting edge data-driven machine learning models for photo-realistic object/scene synthesis Desig

    • n unsupervised and weakly supervised solutions for automated AR/VR content generation Innov

    • ate deep learning networks for end-to-end processing Imple

    • ment and test software modules

Qualifications:

  • PhD or MS in Computer Science, Electrical Engineering or a related field

  • At least three-year experience in machine learning and computer vision

  • Essential hands-on experience in developing machine learning solutions

    • Object and human body modeling, face and human body animation, 3D modeling and rendering, physical-based simulation, mobile graphics

  • Solid understanding and extensive experience with object detection and object recognition methods based on deep learning models

    • Using CNNs, LSTMs, autoencoders

    • Preferably implemented with TensorFlow library

  • Well versed in the state-of-the-art in real time 2D and 3D data processing, feature design, training, cross-validation, feature down-selection, performance evaluation

  • Experience in 3D graphics including rendering and simulation

  • Experience in working with data from RGB cameras, IR cameras, depth cameras

  • Experience operating on large datasets, data collection, data labeling

  • Very strong implementation skills in C++, Python using OpenCV

  • Research publications at good venues are a plus

  • Strong attention to details, highly motivated, innovative and enthusiastic

  • Able to work as a team player and as an individual contributor

  • Ability to meet deadlines and commitments in a fast-paced environment

  • Good oral and written communication, interpersonal skills and fluency in English


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