V-Nova

  • Machine Learning Engineer

    Job Locations UK-London
    Posted Date 2 months ago(15/03/2018 10:25)
    Job ID
    2018-1148
    # of Openings
    1
    Category
    Engineering
  • Overview

    V-Nova™ is a London-headquartered company providing advanced video and image processing hardware and software solutions. Its novel encoding technology, PERSEUS™, is based on principles underlying human vision. PERSEUS™ simultaneously offers significant improvements in compression, picture quality and processing speed with reduced power consumption. This is true in all practical commercial applications, such as on- and offline broadcasting, contribution, production and distribution at all quality levels, and within existing infrastructure. Founded in 2011 as part of a growing consortium of leading global partners, V-Nova™ serves multiple industry segments, including broadcasting, aerospace & defence, security, video conferencing, medical imaging and telematics.

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    Responsibilities

    As a member of the 'Perseus Research Group', you will help us to develop and deliver the next-generations of our ground-breaking Perseus image and video compression technology.

    Your major focus is going to be the improvement of compression performance within the constraints of a real-time, low-latency codec. You might directly contribute to our prototype/reference implementations.

    We will heavily build on your machine learning expertise, as part of our team you will explore more and more opportunities to apply convolutional or recurrent neural networks, advanced classification and prediction techniques as well as deep learning methods to achieve results never seen before!

    Qualifications

    Required:

    • Extensive knowledge in the fields of:
      • artificial neural networks (CNNs, RNNs)
      • machine learning
      • compression methods
      • numerical methods
      • algorithms
    • Proven track record of both research and engineering projects and roles
    • Good command of:
    • Tensorflow (or similar)
    • Python (NumPy, SciPy)
    • C++
    • Relevant degree (at least BSc) in either Computer Science, Maths, Physics or Electrical Engineering

    Desirable:

    • Background in Broadcast TV applications
    • Experience of design and implementation of compression codecs, particularly MPEG2, H.264, HEVC
    • Experience of one or more of JavaScript, OpenGL, WebGL,
    • Solves problems in a consistent way so as not to compromise the strategic direction
    • Able to grasp an exciting new concept with genuine interest, trusting the innovators and driving execution through self-motivation
    • Set Top Box video driver experience (especially on Broadcom SoCs)

     

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