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

Responsibilities

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
Quality Technology Team focuses on the quality domain, providing a series of effective quality products and tools throughout the entire software engineering lifecycle from development, testing, and changes to online operation and maintenance. Aimed at business, we offer comprehensive quality improvement solutions, helping businesses quickly build quality technology capabilities in areas such as quality built-in, testing efficiency, automated testing, change risk prevention and control, architectural risk governance, and monitoring and emergency response.

What You'll Do:
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.
- Work closely with software engineers, data scientists, and other stakeholders to understand requirements and deliver effective AI-powered tools and solutions.
- Document model development processes, performance metrics, and results. Provide detailed reports and insights on model performance and improvements.

Qualifications

Minimum Qualifications:
- Proven experience in developing and working with code-specific large language models (e.g., GitHub Copilot, OpenAI Codex, DeepMind AlphaCode) and related AI technologies.
- Strong proficiency in programming languages such as GoLang (preferred), Python, Java, or C++. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Ability to solve complex problems comprehensively and develop innovative solutions using code-centric AI models.
- In-depth understanding of software engineering principles, code review processes, unit testing methodologies, and code optimization techniques.
- Excellent verbal and written communication skills, with the ability to clearly convey technical concepts and collaborate effectively with cross-functional teams.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

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