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
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Develop and deploy ML models for VFX use cases:
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Object detection, segmentation
- Optical flow, motion tracking, depth estimation
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Image/video enhancement (denoise, upscaling, interpolation)
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Build AI-powered tools for:
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Auto tagging of assets and shots
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Script/metadata extraction (OCR, NLP)
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Smart dailies / QC analysis
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Integrate ML models into pipeline tools (Nuke, Unreal, internal systems)
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Optimize models for real-time or near real-time performance
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Design scalable inference pipelines (batch + interactive)
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Collaborate with pipeline TDs to embed ML into production workflows
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Work with large datasets (EXR sequences, video, metadata)
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Maintain model performance and reliability in production
Required Skills & Qualifications
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Strong programming in Python
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Experience with ML/DL frameworks:
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PyTorch / TensorFlow
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Strong understanding of:
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Computer Vision (CV)
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Deep Learning architectures (CNNs, Transformers)
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Experience with:
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OpenCV, NumPy, Pandas
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Image/video processing pipelines
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Familiarity with:
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EXR workflows, color pipelines (ACES is a plus)
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Knowledge of Linux-based environments
