Machine Learning Engineer - VFX

About the Role

We are looking for a Machine Learning Engineer to build intelligent tools and automation systems for VFX production. This role focuses on applying ML/AI to improve.

You will work closely with VFX artists, pipeline TDs, and production teams to integrate ML solutions into real-world production pipelines.

Key Responsibilities

• Develop and deploy ML models for VFX use cases:
• Object detection, segmentation
• Optical flow, motion tracking, depth estimation
• Image/video enhancement (denoise, upscaling, interpolation)
• Build AI-powered tools for:
• Auto tagging of assets and shots
• Script/metadata extraction (OCR, NLP)
• Smart dailies / QC analysis
• Integrate ML models into pipeline tools (Nuke, Unreal, internal systems)
• Optimize models for real-time or near real-time performance
• Design scalable inference pipelines (batch + interactive)
• Collaborate with pipeline TDs to embed ML into production workflows
• Work with large datasets (EXR sequences, video, metadata)
• Maintain model performance and reliability in production

Required Skills & Qualifications

• Strong programming in Python
• Experience with ML/DL frameworks:
• PyTorch / TensorFlow
• Strong understanding of:
• Computer Vision (CV)
• Deep Learning architectures (CNNs, Transformers)
• Experience with:
• OpenCV, NumPy, Pandas
• Image/video processing pipelines
• Familiarity with:
• EXR workflows, color pipelines (ACES is a plus)
• Knowledge of Linux-based environments