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