AI Image Composition Quality Scorer

About the role

Responsibilities

• Design multi-dimensional composition scoring model covering key aesthetic composition principles
• Curate training data from professional photographer preference judgments and composition annotations
• Implement composition dimension scoring: rule of thirds, visual balance, focal hierarchy, subject placement
• Build score calibration ensuring alignment with professional creative judgment
• Create composition guidance outputs informing generation parameters for higher-quality results
• Integrate scoring into the generation pipeline as a filtering and optimization signal

Requirements

• 3+ years in computer vision or ML engineering with aesthetic quality or image generation experience
• Strong Python and PyTorch skills with image classification model development
• Interest in visual aesthetics, photography, or creative AI
• Experience collecting preference judgment training data and training models on subjective quality labels
• Ability to validate model quality against professional creative expert assessments

Benefits

• Fully remote with flexible schedule
• Health and dental insurance
• $3,000 annual professional development budget
• 401(k) with match
• Equity options

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