Research Engineer Intern (Monetization Technology - Business Integrity) - 2027 Summer

TikTok
San Jose
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Education: mastersSkills: ["Problem-solving","Collaborative mindset","Interest in applying AI to real-world products"]

Build scalable machine learning systems for TikTok monetization by enabling fully automated intelligent moderation. You’ll develop end-to-end capabilities for accurate rejection decisions, interpretable reasoning, and intelligent remediation—addressing adversarial content, evolving moderation rules, long-form text and sequences, and multilingual challenges. Work with global teams across disciplines to advance a next-generation content understanding system that improves user experience and advertiser value.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TikTok
TikTok
14 hours ago

Research Engineer Intern (Monetization Technology - Business Integrity) - 2027 Summer

✓ Verified Job

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

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

Job Summary

Build scalable machine learning systems for TikTok monetization by enabling fully automated intelligent moderation. You’ll develop end-to-end capabilities for accurate rejection decisions, interpretable reasoning, and intelligent remediation—addressing adversarial content, evolving moderation rules, long-form text and sequences, and multilingual challenges. Work with global teams across disciplines to advance a next-generation content understanding system that improves user experience and advertiser value.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Build a leading moderation system enabling end-to-end accurate rejection decisions.
  • •Develop interpretable reasoning to support moderation outcomes.
  • •Implement intelligent remediation to complete the automated moderation loop.
  • •Create fully automated moderation with performance surpassing human benchmarks.
  • •Contribute to a next-generation content understanding system for TikTok monetization, handling adversarial and evolving scenarios.

Key Requirements

  • •Currently pursuing a Master’s degree in a technical field such as Computer Science, Software Engineering, or related disciplines (completed or graduating within 12 months).
  • •Hands-on experience implementing, training, or deploying models for Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies.
  • •Familiarity with large language model fundamentals (pre-training, fine-tuning, prompting, inference, and deployment) with practical experience in at least one stage.
  • •Strong software engineering fundamentals, including clean/testable code, version control, and end-to-end debugging of complex systems.
  • •Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow.
Experience:Machine learningNLPComputer visionMultimodalAdtechRecommender systems
Education:Master's
Skills:Problem-solvingCollaborative mindsetInterest in applying AI to real-world products
Tech Stack:PythonPyTorchTensorFlowDeepSpeedMegatronFSDPVLLMSGLangTensorRT-LLMRAGAgentic systems

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