Team Introduction
The TikTok Engineering Test Team focuses on testing and delivering innovative, high‐quality product features of TikTok as well as protecting user data. Our Mission is to facilitate the release of TikTok features and enhancements from the development to production stage through effective testing, delivering quality at speed. You will join the team and participate in quality assurance for Large Language Models (LLM) in various business scenarios. Together with engineering and algorithm teammates, you will refine the next‐generation intelligent experience.
Internship period: December 2026 – February 2027 (onboard by 7 Dec 2026). Applicants must commit to the internship schedule.
Responsibilities
* Participate in quality assurance for TikTok's Live LLM initiatives and assist in building the quality system for large‐model applications.
* Take part in tool development for the industry‐leading test team during the AI transformation across all testing phases.
* Work on quality and efficiency special projects based on LLM, including change control, automated testing, search effectiveness evaluation, and LLM security.
* Assist in investigating feasible optimization suggestions for existing quality and efficiency pain points of the engineering and algorithm teams, and drive the implementation of solutions to improve delivery quality and efficiency.
* Keep track of cutting‐edge technologies related to large models and AIGC, explore new quality and efficiency solutions for quality‐assurance scenarios, and iterate continuously in practice.
Minimum Qualifications
* Current undergraduate or graduate student, majors in Computer Science, Software Engineering, Information Technology, or related fields. Internship duration shall be no less than 3 months.
* Understand basic software engineering and testing processes; have basic knowledge of common testing methods and tools.
* Possess a solid programming foundation, proficient in at least one programming language among Python, Go, Java, or C++.
* Have strong learning ability and innovation awareness, willing to proactively try new technologies and methods, and eager to solve complex problems in practice.
Preferred Qualifications
* Course projects or practical testing/development experience.
* Experience in developing automated testing scripts or tools.
* Strong interest in AIGC and large model fields, understanding mainstream large model application scenarios.
* Experience in AI‐related projects, model evaluation or test development.
* Demonstrate good communication, collaboration skills and sense of responsibility, able to cooperate efficiently with cross‐functional teams to jointly ensure business quality.
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