FaceSwap Artist - Studio
Listed on 2026-09-16
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Creative Arts/Media
Computer Graphics / 3D / Animation
Position Summary
Face Swap 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 Face Swap 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.
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.
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
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, Deep Face Lab or other face swapping tools
Experience with Keen Tools
Python scripting skills to automate and streamline high volume of repeated day-to-day tasks
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