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Computer Vision Research Engineer

, ,
£75,000 £100,000 DOE + equity

We are looking for multiple Computer Vision Research Engineers whose expertise lies within the creation of novel Machine Learning / Deep Learning algorithms to be deployed on a range of bleeding-edge projects including 3D Object Recognition & Detection, Target Tracking, Pose Estimation & the development of intricate AR/VR systems.

Working within this environment as a Computer Vision Research Engineer would allow you to join forces with a team that has 10+ years of experience in developing cutting edge products and is classified as world-leading when it comes to Deep Learning & Computer Vision research.

The team is central to making this organisation the best AI company on the planet and work on the core underpinning AI, they continuously aim to push the bar and work with bleeding-edge technology & techniques to achieve the impossible. The master plan is to transform a billion-dollar industry and to achieve this they are working on numerous projects centred around a variety of real-world problems which require them to look beyond the latest techniques in Deep Learning to what is next. You will not only see the work you do come to life you will also have the opportunity to publish at the top tier conferences as with ICCV already checked off this year the next targets are NeurIPS & CVPR.

As a Computer Vision Research Engineer, you will be collaborating with diverse teams not only within the organisation but also within the academic world. This includes a team of incredible software engineers and architects.

Requirements

  • PhD in Computer Science/Engineering, Machine Learning, Computer Vision, Robotics or a related field.
  • 3+ years of research and development experience within Computer Vision & Deep Learning.
  • Published research papers in relevant conferences (e.g., NeurIPS, CVPR, ICCV, ECCV, ICRA…).
  • Python is a given!
  • Exceptional knowledge and development experience with deep learning frameworks such as Tensorflow & PyTorch.
  • Strong knowledge of CUDA, C++ and parallel programming.
  • Experience with implementation of Deep Learning algorithms on real-world vision projects. (e.g. 3D Object Detection, Hand Pose Estimation, Object Tracking etc…).
  • Experience working with version control systems such as Git.
  • A vested interest in intensive research that will have a real-world impact.
  • Strong communication skills, you need to be organised and self-motivated.
  • SLAM experience would be a bonus.

For a confidential conversation, please respond to this advert or send an up to date CV to [email protected]

Contact:
John Stephenson

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