We require world-class Research Engineer who is capable of working at the very cutting-edge of technology. A researcher who is capable of pushing the boundaries of creativity across Computer Vision & Deep Learning by utilising advanced neural net architectures – GANs
The position of Research Engineer will allow you to work and the latest and greatest area of Deep Learning for Vision. Ideally, you will have an exceptional academic background having studied at a top tier university and famed vision group, then have dipped your toe within the industry.
This Research Engineering position is extremely specialist therefore experience in the area of Generative adversarial networks across Unsupervised Learning, and/or Reinforcement Learning is a must.
PhD from a top tier University within Computer Science, Deep Learning, Computer Vision or related.
Publication history, ideally 1st author papers for major conferences and journals such as CVPR, NeurIPS, ICCV, ECCV, ICML, TPAMI etc.
Post-Doc Research background
A Minimum of 3 years of practical experience with GANs – trying a variety of methods/tools, knowing the variations and advantages of different architectures.
You must have designed and developed GANs from scratch.
Must be able to explain concisely and clearly the work you do and why one architecture may be chosen over another.
Impeccable programming skills within Python and/or, C++.
Ability to work with multiple teams in order to guide a project from concept to deployment.
Familiarity with Inpainting, Synthetic images, & Pose estimation.
With this position, you will be given full backing to publish your work at top tier conferences, present to peers within industry & patent your work.