Machine Learning Compositing Artist / Production TD
Role Overview
This role sits at the intersection of production delivery, machine learning workflows, and visual effects compositing. Rather than focusing on core ML development or backend tool authoring, you will be the hands-on operator leveraging our internal ML toolsets to generate, test, and deliver production-ready elements across departments.Supporting global education and VFX production through Machine Learning as a tool.
Working closely with the Machine Learning Supervisor, you will be involved with setting up project assets to running shot work elements according to in-house standards, rigorously evaluate and tune outputs within a range of tools from in-house, Comfyui to nuke, and provide vital artist-level feedback to help guide ongoing tool development and help refine functional capabilities.
Key Responsibilities
- Element Generation & Cross-Department Delivery: Operate proprietary and production ML tools to generate, process, and package high-quality elements and passes for the compositing and other departments.
- Asset Ingestion & Setup: Prepare, structure, and curate project datasets, and shot assets strictly adhering to studio pipeline conventions and in-house ML workflows.
- Output QC & Compositing Integration: Use advanced Nuke compositing skills to integrate, test, and track ML-generated outputs, ensuring seamless color consistency, edge quality, and match fidelity.
- Tool Testing & Supervisor Collaboration: Partner with the ML Supervisor and pipeline developers to test prototype toolsets with regular feedback loops.
- Workflow Troubleshooting: Identify and resolve challenges in ML outputs, applying compositing solutions or adjusting input settings to achieve desired results.
- Documentation & Asset Tracking: Maintain accurate records of project files, versions, and asset dependencies.
Knowledge, Skills, and Abilities
Must-have technical skills:
- Proficiency in Nuke and compositing software.
- Experience with color correction, grain matching, and asset integration.
- Understanding of CGI and render passes in a production environment.
Nice-to-have technical skills:
- Familiarity with machine learning tools (e.g., ComfyUI) and basic programming.
- Experience with user support or technical troubleshooting.