RLHF Research Engineer Intern,Multimodal LLM -2025 Start

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 imagination 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 mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Successful candidates must be able to commit to at least 3 months long internship period.

Successful candidates must be able to commit to either of the following Internships
- From January to June
- From May to August (Summer)

Responsibilities:
1. Work closely with our research scientist on developing state-of-the-art RLHF (Reinforcement Learning with Human Feedback) algorithms, and applying them on our cutting edge multimodal LLMs
2. Participate in the research of cutting-edge technologies such as large language models and multimodal large models, and accumulate experience in solving practical problems with cutting-edge technologies

Qualifications

Minimum Qualifications:
- PhD students with majors in artificial intelligence, computer science, automation, and mathematics or related fields
- Able to commit to working as a full-time intern for at least 3 months
- Solid programming skills and experiences in using LLM training and inferencing libraries/platforms, like HuggingFace Transformers, DeepSpeed, etc, and proficient in deep learning frameworks such as pytorch.
- Strong sense of responsibility, proactive, good communication and teamwork skills.

Preferred Qualifications:
- Have RLHF algorithm implementation hands-on experiences, familiar with main RLHF algorithms like PPO, DPO, SimPO, KTO, etc.
- Have experiences on publishing papers in top academic conferences and have won excellent results in competitions in the field of multimodal, computer vision or machine learning.
- We will prioritize candidates who are able to commit to onboard as soon as possible.

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.

For TikTok
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

For TikTok
If you have any questions, please reach out to us at [email protected]