Backend Software Engineer Intern (TikTok-Growth-Innovative Growth) - 2027 Summer

About the team 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 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.

Responsibilities: - Participate in the design and development of backend systems for TikTok user growth, content optimization, experimentation, and organic acquisition. - Build or improve services, tools, 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. - Explore AI / Agentic workflow and Auto Research capabilities, including tool calling, evaluation pipelines, human-in-the-loop workflows, and feedback loops. - Collaborate with product, data, algorithm, and engineering partners to deliver reliable features, tools, and backend components with measurable impact.