Software Engineer, Ads Measurement & Effectiveness

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Problem-solving","Independent execution","Cross-functional collaboration"]

Build and ship large-scale measurement systems for TikTok Ads effectiveness, spanning signal quality frameworks, anomaly detection, identity resolution, and attribution modeling. Own end-to-end implementation of multi-touch attribution, modeled conversions, and incrementality measurement, while developing experimentation infrastructure and real-time pipelines for Conversion Lift, Brand Lift, and Split Tests. Collaborate with Product, Data Science, and Infrastructure, and explore LLM-powered signal intelligence for smarter conversion event classification and correction.

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FursaFursa
TikTok
TikTok
1 month ago

Software Engineer, Ads Measurement & Effectiveness

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build and ship large-scale measurement systems for TikTok Ads effectiveness, spanning signal quality frameworks, anomaly detection, identity resolution, and attribution modeling. Own end-to-end implementation of multi-touch attribution, modeled conversions, and incrementality measurement, while developing experimentation infrastructure and real-time pipelines for Conversion Lift, Brand Lift, and Split Tests. Collaborate with Product, Data Science, and Infrastructure, and explore LLM-powered signal intelligence for smarter conversion event classification and correction.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build signal quality frameworks including anomaly detection, signal recovery, denoising, and correction pipelines for advertiser conversion data.
  • •Develop and optimize cross-platform identity resolution systems to improve the precision and coverage of the Identity Graph using probabilistic matching and graph algorithms.
  • •Own attribution model design and end-to-end implementation, including multi-touch attribution, modeled conversions, and incrementality measurement.
  • •Build large-scale experimentation infrastructure and real-time data pipelines for Conversion Lift, Brand Lift, Split Test, and cross-media measurement products.
  • •Explore LLM-powered signal intelligence for semantic understanding, quality assessment, and automated correction of event signals; collaborate with Product, Data Science, and Infrastructure teams.

Key Requirements

  • •BS/MS in Computer Science, Statistics, Mathematics, or related field.
  • •Strong software engineering skills; proficient in at least one of Python, Go, Java, or C/C++.
  • •Solid foundation in data structures, algorithms, and system design.
  • •Experience building backend or data-intensive systems at scale.
  • •Comfort with statistics or machine learning concepts such as hypothesis testing, causal inference, regression, and probabilistic models.
Education:Bachelor's in Computer Science, Statistics, Mathematics, or related field
Skills:Problem-solvingIndependent executionCross-functional collaboration
Tech Stack:PythonGoJavaC/C++LLMA/B testingProbabilistic matchingGraph algorithmsCausal inferenceRegression

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn