FaceSwap Artist - all levels - London Studio

Position Summary

FaceSwap is a new, exciting, and growing discipline within the visual effects industry, using Machine Learning (AI) to create digital faces and likenesses. We are currently looking for people with a keen eye for, and interest in, photo realism, as well as those comfortable with the technical side of visual effects. The FaceSwap Artist will be a pioneer and trailblazer in a new area of visual effects technology. While a background in compositing is advantageous, artists with visual effects experience in any discipline are encouraged to apply.

What You’ll Do

• Use a variety of deep learning based technologies to produce photorealistic images, including open source tools, and proprietary in house software

• Create templates to facilitate model evaluation

• Monitor the training progress, and assess improvements and quality; making necessary adjustments to the configuration of training

• Prepare datasets to train models, which includes gathering reference material from various sources, curating and managing images

• Using trained models to perform faceswaps in a shot context, producing slap comps for review in dailies.

What We’re Looking For

• Experience in visual effects or CG industry

• A curious mind that is interested in learning new things, and enjoys experimentation and testing

• Flexible and adaptable to changing workflows, detail oriented and meticulous

• Working knowledge of Nuke to prepare precomps and slap comps

• Some experience with CG compositing

• Comfortable working with or learning command-line based tools

• Interested in, or have basic familiarity with, deep neural networks

• Familiarity with ComfyUI and other GenAI tools

Nice to have

• Experience working on projects with realistic looking CGI humans or other face replacement approaches

• Any experience using or training deep neural networks models, such as Nuke Copycat, DeepFaceLab or other face swapping tools

• Experience with Keen Tools

• Python scripting skills to automate and streamline high volume of repeated day-to-day tasks