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.

Team Introduction
This position is responsible for researching and building the company's LLMs. The role involves exploring new applications and solutions for related technologies in areas such as search, recommendation, advertising, content creation, and customer service. The goal is to meet the increasing demand for intelligent interactions from users and to significantly enhance their lifestyle and communication in the future.

We are looking for talented individuals to join us for a Student Researcher opportunity in 2025. Student Researcher opportunities aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities.

The Student Researcher position provides unique opportunities that go beyond the constraints of our standard internship program, allowing for flexibility in duration, time commitment, and location of work.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
- Reinforcement Learning from Human Feedback: Design advanced reinforcement learning algorithms for large language models by integrating technologies such as heuristic-guided search, multi-agent reinforcement learning, and other related techniques.
- Reward modeling: Formulate a novel reward modeling methodology aimed at significantly enhancing robustness, improving generalization capabilities, and increasing overall accuracy.
- Scalable Oversight: Develop scalable oversight mechanisms that enable efficient monitoring and control of LLMs as they grow in size and complexity, ensuring consistent alignment with predefined objectives.
- Interpretability in LLMs: Focus on enhancing the interpretability of language models, ensuring that their decision-making processes and outputs are transparent and understandable to users and stakeholders.