ML Engineer: Creator Governance & Content AI

TikTok

Seattle (WA)

On-site

USD 154,000 - 301,000

Full time

2 days ago
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Job summary

TikTok is seeking a research-focused engineer in Seattle to advance governance and experience optimization for a global e-commerce ecosystem. You will develop multi-modal creator profiling, graph-based risk detection, and fairness-driven governance strategies to support trusted, high-quality content across markets.

Join a team leveraging LLMs, RAG, and advanced graph techniques to ensure a prosperous, fair platform for creators and users alike.

Qualifications

  • Bachelor's degree or above in computer science or related field.
  • Proficient in Python/C++ with hands-on experience in PyTorch or TensorFlow.
  • Deep expertise in NLP/LLM, Graph Neural Networks, Sequence Modeling, or Machine Learning.
  • 1+ years of experience in Content Governance, Trust & Safety, Creator Ecology, or Advertising/Search/Recommendation.

Responsibilities

  • Creator Governance & Quality Modeling: signal-driven profiling to build Creator Quality Scores; combat low-quality and pirate content; build LLM + RAG governance systems with explainable reasoning.
  • Graph Intelligence & Syndicate Detection: construct large heterogeneous graphs to uncover bad actors; track cross-domain risk propagation across content and markets.
  • Ecosystem Strategy, Fairness & Optimization: develop multi-objective models balancing ecosystem prosperity, GMV, and governance risk; design fairness strategies for diverse creators.

Skills

Python
C++
PyTorch
TensorFlow
NLP/LLM
Graph Neural Networks
Sequence Modeling
Content Governance

Education

Bachelor's degree or above in computer science or related field

Tools

RAG
DPO/RLHF
Multi-Modal Representation Learning

Job description

TikTok is seeking a research-focused engineer in Seattle to advance governance and experience optimization for a global e-commerce ecosystem. You will develop multi-modal creator profiling, graph-based risk detection, and fairness-driven governance strategies to support trusted, high-quality content across markets.

Join a team leveraging LLMs, RAG, and advanced graph techniques to ensure a prosperous, fair platform for creators and users alike.

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