Platform Governance Operations (AI) Project Intern (TikTok Shop) 2026 Start

Responsibilities

About the Team
TikTok Shop's Governance and Experience (GNE) is a global team responsible for ensuring our marketplace is safe and trustworthy for not only our users, but also sellers and creators. We value user satisfaction and work on policies, rules and systems to ensure quality. Our mission is to provide world-class service and experience for customers, sellers, and creators.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities:
- Design, develop, and optimize intelligent Agent systems across the e-commerce platform governance workflow, covering key functions such as risk detection, risk assessment, appeal handling, and root cause analysis (RCA).
- Build and maintain a multi-Agent collaboration framework to ensure efficient task orchestration, execution, and closed-loop governance across different Agents.
- Develop AI Agent capabilities powered by large language models (LLMs) such as GPT, Claude, and Llama to support automated moderation, intelligent decision-making, case attribution, and issue investigation.
- Design and implement end-to-end (E2E) Agent workflows, including task triggering, feature retrieval, strategy evaluation, enforcement execution, appeal processing, and complete governance lifecycle management.
- Partner with cross-functional teams to identify business pain points, design AI-driven governance solutions, and continuously optimize Agent performance and effectiveness.
- Drive deep integration between AI Agents and internal governance platforms to improve operational efficiency and user experience.
- Stay up to date with state-of-the-art AI Agent frameworks (e.g., AutoGen, CrewAI, LangGraph), and explore advanced capabilities such as Agent autonomy, task decomposition, and self-supervised optimization.