Research Scientist Intern (TikTok-Recommendation-Content Intelligence) - 2026 Start (PhD)

Responsibilities

About the Team
Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Applications will be reviewed on a rolling basis. We encourage you to apply early. Successful candidates are expected to work with the team for at least 12 weeks during the internship

Responsibilities:
- Conducting development and research on cutting-edge CV, NLP, multi-modality, LLM, generative modeling
- Following SoTA progress in relevant fields and transform the ideas into production
- Life-cycle model development, from model training, deployment, maintenance, till its use in business scenarios.

Qualifications

Minimum Qualifications:
- Currently pursuing PhD Degree.
- Experience in one of more areas of computer vision, natural language processing and machine learning.
- Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet).
- Strong analytical and problem solving skills. Ability to work collaboratively in cross-functional teams.

Preferred Qualifications:
- Degree in computer science, electrical engineering or related fields.
- Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship.
- Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR.