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AI Creative Asset Scoring Engineer

Addison Fischer

Full-time · Job · New_York

About the role

Before a brand spends $500K running an ad campaign, they'd like to know if the creative is any good. Our platform scores visual assets — display ads, social media creatives, video thumbnails — predicting engagement rates, brand recall, and emotional response before a single dollar is spent on media. The scoring models combine computer vision (composition, color, visual hierarchy) with text analysis (headline clarity, CTA effectiveness) and historical performance data from 2 million past campaigns. Your job is improving prediction accuracy while keeping inference fast enough for real-time scoring during the creative review workflow. You'll be the third ML engineer on a team that also includes two product designers and a creative strategist. Every model improvement gets validated against actual campaign performance data that arrives 2-4 weeks after launch. That feedback loop is gold — and building the infrastructure to use it efficiently is part of your role.

Responsibilities

  • Improve creative scoring models for engagement, recall, and emotional response prediction
  • Build multi-modal feature extraction from visual and text components of ads
  • Design the feedback loop that connects campaign results to model retraining
  • Optimize inference for real-time scoring during creative review workflows
  • Create explainable scoring breakdowns that inform creative decisions
  • Evaluate new model architectures against historical campaign performance

Requirements

  • 3+ years in ML engineering with computer vision or multi-modal experience
  • Experience with image classification, object detection, or visual analysis
  • Strong PyTorch skills and production model serving experience
  • Understanding of A/B testing and performance measurement
  • Interest in advertising, creative design, or marketing technology

Benefits

  • Fully remote position
  • Health, dental, and vision insurance
  • $3,000 annual learning budget
  • Flexible hours with async communication
  • Quarterly creative industry guest speaker series

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Categories

AI & Machine Learning Engineers AI Business, Marketing & Strategy

Skills

python pytorch computer vision sql fastapi

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

AI & Machine Learning Engineers AI Business, Marketing & Strategy

Skills

python pytorch computer vision sql fastapi docker

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