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Machine Learning Engineer (Content Ecology & Creator) -E-commerce Governance

Seattle, United States of America💼 Full-time🗓 2026-09-28

Core

Build AI systems to govern the TikTok Shop creator ecosystem, ensuring content quality, detecting malicious actors, and optimizing fair traffic distribution.

Role type

Senior IC machine learning engineer (content governance & graph intelligence)

Builds

LLM+RAG governance agents, heterogeneous graph models for syndicate detection, and multi-objective optimization models for ecosystem fairness.

Domain

E-commerce platform governance, content ecology, and trust & safety

Deliverable

production ML models

Required skills

Python, C++, PyTorch, TensorFlow, NLP/LLM, Graph Neural Networks (GNN), Sequence Modeling, Multi-modal signal processing, Multi-objective optimization

Preferred skills

RAG, DPO/RLHF, Multi-modal representation learning, translating business goals into mathematical definitions

Technologies

LLM agents, RAG, GNN, Sequence Modeling, MMoE, PLE

Responsibilities

Develop sequence-based models to detect low-effort selling, piracy, and matrix account spamming; Construct large-scale heterogeneous graphs to uncover organized bad actors; Design traffic regulation strategies to prevent monopolies by bad actors.

Seniority

Senior, hands-on IC

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