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AI Campaign Personalization Engine Developer

Addison Fischer

Full-time · Job · New_York

About the role

The best ad creative in the world fails if it reaches the wrong person at the wrong moment. Our clients are DTC brands running 50-200 active ad variants simultaneously across Meta, Google, and TikTok. The campaign managers who oversee them are making budget allocation decisions every morning based on gut feel and yesterday's ROAS. We want to replace gut feel with a recommendation engine. You'll build the personalization layer that matches the right creative variant to the right audience segment in real time, adjusting bids and budgets based on predicted conversion probability per user. The training signal is conversion data — sparse, delayed, and biased toward what's already been shown. The serving challenge is latency: sub-100ms decisions at 2 million ad impressions per day. This is a senior IC role with ownership over the entire personalization stack — feature engineering, model training, serving infrastructure, and the feedback loop that keeps models fresh. You'll work alongside our campaign analytics team who understand what moves the needle for DTC brands.

Responsibilities

  • Build a real-time ad creative personalization engine matching variants to audience segments
  • Design the feature store and training pipeline from conversion and impression data
  • Solve the delayed, sparse feedback problem in conversion-based optimization
  • Implement sub-100ms model serving at 2M+ daily ad impressions
  • Build the feedback loop keeping models fresh as creative assets rotate
  • Partner with campaign analytics team to define and track personalization lift metrics

Requirements

  • 6+ years in ML with recommendation systems or ad tech experience
  • Deep understanding of conversion optimization, delayed reward modeling, and bandit algorithms
  • Experience building low-latency model serving infrastructure
  • Strong Python and SQL skills with production deployment track record
  • Familiarity with digital advertising platforms and attribution methodologies

Benefits

  • Fully remote with core hours 10am-4pm ET
  • Comprehensive health benefits
  • Equity package with 4-year vesting
  • $4,000 annual professional development budget
  • Performance bonus tied to client campaign lift metrics

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Categories

AI Business, Marketing & Strategy data science & analytics

Skills

python pytorch sql aws fastapi

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI Business, Marketing & Strategy data science & analytics

Skills

python pytorch sql aws fastapi statistics

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