Faceswap Supervisor - Ilm London

Disney Disney · Media · London, United Kingdom

This role supervises the implementation and training of deep learning models for face swapping in visual effects, focusing on photorealistic image production. It involves leading technical and creative aspects, collaborating with global teams, managing training progress, and driving innovation in ML workflows. The role requires expertise in visual effects, deep neural networks, Nuke, and Python scripting.

What you'd actually do

  1. Implement and lead all aspects of a variety of deep learning based technologies to produce photorealistic images, including open source tools, and proprietary in house software
  2. Collaborate with VFX supervisors, Head of department, to help develop the creative and technical approach for FaceSwap workflows on a variety of projects.
  3. Supervise the training progress, and assess improvements and quality; making vital adjustments to the configuration of training
  4. Stay up to date on all the latest technology, and be able to implement the latest research with RnD support
  5. Drive the department innovation and design new workflows for new ML implementations.

Skills

Required

  • Extensive experience in visual effects or CG industry
  • Experience using or training deep neural networks models, such as Nuke Copycat, DeepFaceLab or other face swapping tools.
  • Experience working on projects with realistic looking CGI humans or other face replacement approaches
  • Expert knowledge of Nuke to prepare precomps and slap comps
  • Python scripting skills to automate and streamline repeated day-to-day tasks
  • Comfortable working with or learning command-line driven tools
  • Interested in, or have basic familiarity with, deep neural networks

Nice to have

  • Experience with Keen Tools/ ComfyUI
  • Experience leading a project and supervising a team
  • background in compositing is helpful
  • visual effects experience in any field are encouraged to apply

What the JD emphasized

  • deep learning based technologies
  • training progress
  • latest technology
  • latest research
  • new ML implementations
  • training deep neural networks models

Other signals

  • implement and lead all aspects of a variety of deep learning based technologies
  • Supervise the training progress, and assess improvements and quality; making vital adjustments to the configuration of training
  • Stay up to date on all the latest technology, and be able to implement the latest research with RnD support
  • Drive the department innovation and design new workflows for new ML implementations
  • Experience using or training deep neural networks models