The TikTok User Growth team is central to the strategic acquisition, engagement, and expansion of TikTok's global user base. Our team focuses on driving user growth through organic traffic channels, content optimization, AIGC technologies, and scalable backend systems across TikTok surfaces such as Web, Lite, and other emerging platforms.
We build growth and content optimization systems that turn search, discovery, data, and AI-driven capabilities into measurable business impact. Typical projects include Search Engine Optimization for organic acquisition, AIGC-powered content generation and quality evaluation, AI / Agentic workflow automation, Auto Research systems for growth opportunity discovery, and backend platforms that support experimentation and large-scale production rollout.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
- Participate in the design and development of backend systems for TikTok user growth, content optimization, experimentation, and organic acquisition across global markets.
- Build scalable services and data pipelines for SEO/GEO, search and discovery, content understanding, content quality evaluation, and traffic optimization.
- Apply AIGC capabilities to support content generation, prompt workflows, quality assessment, and automated optimization for growth scenarios.
- Contribute to AI / Agentic workflow and Auto Research systems, including tool calling, evaluation pipelines, human-in-the-loop workflows, and feedback loops.
- Collaborate with product, data, algorithm, and design teams to deliver reliable production systems with measurable user growth and business impact.
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's degree in computer science or a related discipline.
- Familiar with one or more programming languages such as Golang, Python, Java, or C++, with a good understanding of data structures and algorithms.
- Familiar with backend development, system design, microservice architecture, and distributed systems.
- Familiar with databases, cache systems, and cloud-native components such as MySQL, Redis, MongoDB, Docker, Kubernetes, or similar technologies.
- Good communication skills, strong learning ability, and willingness to collaborate with cross-functional and international teams.
Preferred Qualifications:
- Internship, project, or research experience in backend development, distributed systems, microservices, data platforms, or large-scale consumer-facing systems.
- Experience or strong interest in AI-related backend systems, such as LLM service integration, prompt workflows, model evaluation, vector retrieval, feature serving, or AI-powered automation.
- Experience building or experimenting with AI agents, agentic workflows, AI coding tools, tool-calling applications, or workflow automation systems.
- Experience or interest in search, recommendation, discovery, content platforms, SEO/GEO, growth engineering, experimentation, or traffic optimization.
- Strong self-drive, sense of ownership, and curiosity about applying AIGC technologies to real-world product and engineering problems