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