AI Visual Brand Consistency Checker

About the role

Responsibilities

• Design perceptual brand consistency models trained on brand-specific reference asset libraries
• Implement multi-dimensional visual consistency scoring: color, typography, layout, and compositional feel
• Build feedback learning system improving checker accuracy from brand manager correction decisions
• Develop explanation outputs describing why a specific asset was flagged for inconsistency
• Create consistency score calibration achieving 90%+ agreement with brand manager judgments
• Build brand-specific model adaptation enabling rapid deployment for new brand clients

Requirements

• 6+ years in computer vision or ML engineering with visual quality, brand, or design system experience
• Strong Python and PyTorch skills with perceptual quality assessment model development
• Understanding of visual brand identity systems: color theory, typography hierarchy, and design principles
• Experience training models on small-to-medium reference datasets with perceptual similarity objectives
• Track record building vision systems that earn trust through demonstrated alignment with human judgment

Benefits

• Fully remote with flexible schedule
• Top-of-market compensation for visual AI expertise
• Comprehensive health benefits
• $5,000 annual professional development budget
• Equity participation

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