Drimva

TikTok

Software Engineer, Ads Measurement & Effectiveness

San Jose, California · Full-time · Posted Oct 28, 2026

Experience
No years specified; experience building backend or data-intensive systems at scale is required.
Education
BS/MS in Computer Science, Statistics, Mathematics, or a related field.

About the job

Builds large-scale advertising measurement systems that assess signal quality, resolve identities, model attribution, and measure the causal impact of TikTok ads.

What you'll do

  • Build signal quality frameworks and conversion-data recovery and correction pipelines.
  • Develop identity resolution and attribution systems, including incrementality measurement.
  • Build experimentation infrastructure and real-time pipelines; explore LLM-powered signal intelligence.

What they ask for

  • BS/MS in Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in at least one of Python, Go, Java, or C/C++.
  • Strong foundations in data structures, algorithms, and system design; experience building backend or data-intensive systems at scale.
  • Foundational knowledge of statistics or machine learning, including hypothesis testing, causal inference, regression, and probabilistic models.

Nice to have

  • Experience in signal processing, identity resolution, attribution, experimentation, or adjacent algorithm domains.
  • Ability to drive work from problem definition through production deployment; ads technology knowledge and interest in advertiser ROI and measurement.

Tools

Python, Go, Java, C/C++, LLMs

AI focus

Explore using large language models to understand advertiser conversion data and enable event-signal classification, quality assessment, and automated correction.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)