TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the Team
The Quality Technology Team focuses on the quality domain, providing a series of AI-powered products and tools throughout the entire software engineering lifecycle from development, testing, and changes to online operation and maintenance. We leverage cutting-edge artificial intelligence to offer comprehensive quality improvement solutions, helping businesses quickly build advanced quality technology capabilities. Our AI-driven tools excel in areas such as automated code review, intelligent test generation, change risk prediction and control, architectural risk governance, and adaptive monitoring and emergency response. By integrating AI into quality processes, we enable businesses to enhance quality built-in practices, improve testing efficiency, and streamline automated testing workflows.

What You'll Do
We are seeking an exceptional Software Engineer with deep expertise in Code Review (CR) and Unit Testing (UT) to join our innovative team. You will work closely with our Machine Learning Engineers to integrate AI-driven solutions into our development processes.

Key Responsibilities
- Code Review Expertise: Lead and manage code review processes, ensuring adherence to best practices and high-quality standards. Provide insightful feedback and mentorship to improve code quality and team practices.
- Unit Testing Mastery: Design, develop, and maintain robust unit testing frameworks. Identify common challenges in unit testing and implement solutions to enhance test coverage and effectiveness.
- Pain Points and Challenges: Analyze and address the pain points and challenges associated with code review and unit testing. Develop strategies and tools to mitigate these issues and streamline processes.
- Collaboration with MLEs: Work closely with Machine Learning Engineers specializing in code LLMs. Provide domain expertise to help integrate AI-driven code review and testing solutions effectively.
- Continuous Improvement: Stay current with industry trends and advancements in software engineering practices. Propose and implement innovative solutions to improve code review and unit testing methodologies.
- Documentation and Knowledge Sharing: Document best practices, processes, and solutions. Share knowledge and provide training to team members on effective code review and unit testing techniques.