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AI Ad Fatigue Detection Engineer

Addison Fischer

Full-time · Job · Los_Angeles

About the role

Our clients run creative campaigns across dozens of ad sets, and by the time engagement metrics visibly drop, they've often already burned through a significant chunk of budget on fatigued creative. Tolvex Studio already predicts campaign performance and scores creative assets before launch. What we're missing is a way to detect fatigue in-flight, early enough that a media buyer can actually rotate in fresh creative before the damage is done. You'll build the detection model behind this feature, working with real-time campaign performance feeds and defining the early-warning signals that separate normal performance variance from genuine creative fatigue.

Responsibilities

  • Build a model detecting early signs of ad creative fatigue in-flight
  • Define statistical signals distinguishing fatigue from normal performance variance
  • Integrate fatigue alerts into real-time campaign performance feeds
  • Validate detection timing against historical campaign fatigue events
  • Partner with media buying teams to calibrate alert sensitivity

Requirements

  • Strong scikit-learn experience with time-series or performance data
  • SQL skills for working with real-time campaign data feeds
  • Statistics background for distinguishing signal from noise
  • Experience in adtech or digital marketing analytics
  • Comfort working with enterprise client-facing features

Benefits

  • Fully remote
  • Equity package
  • Health, dental, and vision insurance
  • 401k matching
  • Unlimited PTO

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Categories

AI Business, Marketing & Strategy

Skills

python sql scikit-learn statistics

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI Business, Marketing & Strategy

Skills

python sql scikit-learn statistics

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