Machine Learning Engineer, Tech Lead - Engineering Efficiency and AI Code Assistant

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 Machine Learning Engineer with deep expertise in large language models to join our innovative team. As a Machine Learning Engineer (MLE) specializing in code large language models, you will be responsible for developing, enhancing, and applying AI-powered models designed specifically for code-related tasks. Your role will involve working with advanced code intelligence models to perform comprehensive code reviews, generate unit tests, and implement effective code fixes. You will leverage your deep understanding of code-centric AI to drive innovation and deliver high-quality solutions that improve software engineering processes.

Key Responsibilities:
- Develop and Enhance Code LLMs: Design, train, and optimize code-specific LLMs to address tasks such as code review, unit testing, code fixing, and other code-centric activities.
- Code Review and Analysis: Utilize code intelligence models to perform thorough and accurate code reviews, identifying potential issues, improvements, and areas for optimization.
- Unit Test Generation: Develop and implement models that automatically generate unit tests to ensure code quality and reliability.
- Code Fixing and Refactoring: Leverage AI models to suggest and apply code fixes, improvements, and refactorings to enhance code performance and maintainability.
- Research and Innovation: Stay up-to-date with the latest advancements in code LLMs and related AI technologies. Conduct research to identify new techniques and methodologies that can be integrated into our solutions.
- Collaboration: Work closely with software engineers, data scientists, and other stakeholders to understand requirements and deliver effective AI-powered tools and solutions.
- Documentation and Reporting: Document model development processes, performance metrics, and results. Provide detailed reports and insights on model performance and improvements.