Machine Learning Engineer Intern (Ads Signal & Measurement) - 2027 Summer

TikTok
San Jose
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Eagerness to learn","Collaboration","Curiosity"]

Join the Signal & Measurement team for TikTok Ads and help build end-to-end advertising effectiveness systems. You’ll develop ML models for signal quality (anomaly detection, denoising, correction), contribute to identity resolution and attribution modeling, and improve downstream ranking and bidding through higher-fidelity signals. The role also involves building experimentation and measurement data pipelines and exploring LLM-powered signal intelligence in collaboration with Product, Data Science, and Infrastructure.

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FursaFursa
TikTok
TikTok
14 hours ago

Machine Learning Engineer Intern (Ads Signal & Measurement) - 2027 Summer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Join the Signal & Measurement team for TikTok Ads and help build end-to-end advertising effectiveness systems. You’ll develop ML models for signal quality (anomaly detection, denoising, correction), contribute to identity resolution and attribution modeling, and improve downstream ranking and bidding through higher-fidelity signals. The role also involves building experimentation and measurement data pipelines and exploring LLM-powered signal intelligence in collaboration with Product, Data Science, and Infrastructure.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Build and improve ML models for signal quality, including anomaly detection, signal recovery, denoising, and correction.
  • •Contribute to cross-platform identity resolution to improve precision and coverage of the Identity Graph using probabilistic matching models and graph algorithms.
  • •Participate in attribution model design and implementation, including multi-touch attribution, modeled conversions, and incrementality measurement.
  • •Improve downstream ads ranking and delivery by feeding resolved identities and modeled conversions into conversion prediction and bidding/ranking systems end to end.
  • •Help build experimentation infrastructure and data pipelines for Conversion Lift, Brand Lift, Split Test, and cross-media measurement products.

Key Requirements

  • •Currently pursuing a Bachelor's or above degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or related technical discipline.
  • •Solid foundation in machine learning and statistics, including hypothesis testing, regression, probabilistic models, and ideally causal inference.
  • •Strong programming skills in at least one of Python, Go, Java, or C/C++, with a solid grasp of data structures and algorithms.
  • •Hands-on ML experience through coursework, research, internships, or personal projects using real-world data.
  • •Strong communication skills and eagerness to learn in a fast-paced environment.
Experience:Machine learningCausal inferenceA/B experimentationAds techRecommendationNLP
Education:Bachelor's
Skills:CommunicationEagerness to learnCollaborationCuriosity
Tech Stack:PythonGoJavaC/C++SparkFlinkPyTorchTensorFlowLLMsNLPGraph algorithmsProbabilistic matching models

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