Faceswap Artist

3 Weeks ago • 3 Years +

Job Summary

Job Description

This role focuses on using deep learning technologies for photorealistic face-swapping in visual effects. Responsibilities include creating and using AI models for faceswaps, preparing datasets, monitoring training progress, performing face swaps within shot contexts, and creating slap comps for review. The ideal candidate has 3+ years of VFX or CG experience, a keen eye for detail, and is comfortable with command-line tools and potentially Python scripting. Experience with Nuke and familiarity with deep neural networks are also beneficial.
Must have:
  • 3+ years VFX/CG experience
  • Photorealistic image creation
  • Deep learning tech knowledge
  • Nuke for precomps and slap comps
  • Dataset preparation and model training
  • Detail-oriented and adaptable
Good to have:
  • Experience with Nuke Copycat, DeepFaceLab
  • Keen Tools experience
  • Python scripting skills

Job Details

Job Posting Title:

Faceswap Artist

Req ID:

10108980

Job Description:

This role is considered Hybrid, which means the employee will work 2-3 days onsite at a Company designated location and occasionally from home.

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

  • 3+ years work 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 driven tools 
  • Interested in, or have basic familiarity with, deep neural networks

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

As part of your application please submit a demo reel, shot breakdown, or equivalent showcasing your work. A current resume is required.

The hiring range for this position in Vancouver, BC is C$98,800 to C$126,400 per year based on a 40-hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A full range of medical, financial, and/or other variable pay or benefits, may be offered dependent on the level and position offered.

Job Posting Segment:

ILM Vancouver

Job Posting Primary Business:

ILM Vancouver

Primary Job Posting Category:

Faceswap

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Vancouver, BC, Canada

Alternate City, State, Region, Postal Code:

Date Posted:

2024-12-13

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