Software Engineer, Ads Measurement & Effectiveness
Core
Design and build systems and models for advertising effectiveness, including signal quality frameworks, identity resolution, and attribution modeling to measure ad impact at scale.
Role type
Senior IC software engineer (ads measurement & causal inference)
Builds
Signal quality pipelines, identity resolution systems, attribution models, and experimentation infrastructure for TikTok Ads
Domain
Advertising technology + distributed systems + causal inference
Deliverable
production ML models
Required skills
Python, Go, Java, C/C++, data structures, algorithms, system design, statistics, machine learning, hypothesis testing, causal inference, regression, probabilistic models
Preferred skills
signal processing, identity resolution, attribution modeling, experimentation, recommendation systems, search ranking
Technologies
Python, Go, Java, C/C++, LLMs
Responsibilities
Design signal quality frameworks with anomaly detection and denoising pipelines; Develop cross-platform identity resolution systems using probabilistic matching; Own attribution model design and implementation including MTA and incrementality; Build large-scale experimentation infrastructure and real-time data pipelines; Explore LLM-powered signal intelligence for semantic understanding; Collaborate cross-functionally to translate algorithmic ideas into production systems
