21 день назад
Machine Learning Compositing TD (ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Compositing TD (ML): Building and deploying ML-driven tools and workflows for film and episodic visual effects with an accent on Python, PyTorch, Nuke compositing, and artist support. Focus on training and fine-tuning models, validating tools on production shots, and integrating ML into creative workflows without disrupting source-of-truth or artistic intent.
Location: 100% remote within Australia
Company
is a global visual effects company delivering photo-real VFX for film and episodic content across studios in Canada, the UK, the US, and Australia.
What you will do
- Work with artists, supervisors, pipeline, and production teams to translate creative needs into usable ML tools and workflows.
- Build, test, deploy, and maintain ML-driven production tools and utilities using Python and PyTorch.
- Train and fine-tune models, prepare datasets, troubleshoot model behavior, and assess output quality.
- Validate workflows on real shots and ensure ML tools integrate effectively into compositing pipelines.
- Support global onboarding, documentation, and training for artists and departments.
- Identify opportunities for ML to improve production efficiency and creative exploration.
Requirements
- Location: 100% remote within Australia.
- Comfort with Python, basic PyTorch training concepts, and Git.
- Experience building simple tools and utilities for artist workflows.
- Solid Nuke skills and strong knowledge of 2D and 3D compositing workflows, including keying, tracking, CG integration, projections, multi-pass compositing, color management, and shot finishing.
- Ability to troubleshoot technical, artistic, workflow, and model-output issues.
- Clear communication skills, with the ability to teach technical concepts to artists and supervisors across studios and time zones.
Culture & Benefits
- Hands-on work combining creative production, technical development, and direct artist support.
- Collaboration with R&D and pipeline teams supporting productions around the world.
- Opportunity to help shape ML adoption, onboarding, and department growth across the studio.
- Work on award-focused visual effects projects for film and episodic content.
Hiring process
- Submit a resume, cover letter, and portfolio or demo reel with work breakdowns.
- Provide recent work samples where possible.
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