Ads Measurement & Attribution Engineer

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Holidays & PTO

Job summary

TikTok Inc. is seeking a data-focused backend engineer for the Signals & Measurement team in San Jose, CA.

You will design scalable signal quality pipelines and cross-platform identity resolution, and own attribution modeling end-to-end to measure ad effectiveness. You will build large-scale experimentation infrastructure and real-time data pipelines, applying statistics and ML to advertiser data while collaborating with Product, Data Science, and Infra teams to deliver production systems

Qualifications

• BS/MS in Computer Science, Statistics, Mathematics, or a related field.
• Strong software engineering skills; proficient in Python, Go, Java, or C/C++.
• Solid foundation in data structures, algorithms, and system design.
• Experience building backend or data-intensive systems at scale.
• Foundational knowledge in statistics or machine learning.

Responsibilities

• Design and build signal quality frameworks, including anomaly detection and denoising at scale.
• Develop cross-platform identity resolution systems with probabilistic matching and graph algorithms.
• Own attribution model design and end-to-end implementation (MTA, modeled conversions).
• Build large-scale experimentation infra and real-time data pipelines for conversion lift and cross-media measures.
• Explore LLM-powered signal intelligence for classification and automated signal correction.
• Collaborate with Product, Data Science, and Infra teams to productionize algorithms for advertisers globally.

Skills

Python

Go

Java

C/C++

Statistics

Education

BS/MS in Computer Science/Statistics/Math

Job description

TikTok Inc. is seeking a data-focused backend engineer for the Signals & Measurement team in San Jose, CA.

You will design scalable signal quality pipelines and cross-platform identity resolution, and own attribution modeling end-to-end to measure ad effectiveness. You will build large-scale experimentation infrastructure and real-time data pipelines, applying statistics and ML to advertiser data while collaborating with Product, Data Science, and Infra teams to deliver production systems