Job Description

We are the TikTok Monetization - Growth team — building the next-generation AI Agent-powered intelligent growth platform that serves millions of advertisers and reaches billions of users every day. We are embedding LLM reasoning, multimodal perception, and autonomous decision-making directly into the full advertising lifecycle — from ad creation and creative generation to bidding strategy, attribution, and measurement, helping businesses worldwide efficiently connect with customers and achieve commercial success on TikTok.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.

Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Key Responsibilities：

- Architect & build AI Agent systems.

- Work on backend development of TikTok's proprietary CRM platform.

- Build enterprise-grade solutions serving millions of customers and supporting billions in revenue.

- Build a globalized CRM System with high performance and availability across multiple regions.

- Collaborate cross-functionally: Work closely with Product, Operations, Sales, and Data Science teams to utilize AI capabilities into measurable growth outcomes.

Minimum Qualifications:

- Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or a related discipline.

Preferred Qualifications:

- Hands-on experience with AI Agents and Multi-Agent workflows (e.g., autonomous task execution, agent collaboration).

- Deep familiarity with engineering patterns such as MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), and Code Embedding.

- Experience with big data components including Spark, OLAP engines and Flink is a plus, but not required.

- Familiarity with Elastic Search and key/value stores (Redis, Memcached etc) is a plus.

- Familiarity with Message Queue (Kafka, RabbitMQ, RocketMQ etc) is a plus.

- Familiarity with CRM platforms and Ad Sales automated processes is a plus.

- Experience with Java is preferred.

- Experience with Spring Boot and/or other Microservice frameworks is preferred.

- Experience with relational databases (MySQL, Postgres etc) is preferred.