Key skills
Machine LearningDeep LearningLLMCollaboration
About this role
About the Team
You will be joining TikTok's Next-Generation Recommendation team, focused on pioneering cutting-edge recommendation systems powered by advanced large-model technologies. This team is dedicated to advancing TikTok’s personalized content discovery and user experiences by harnessing the power of large models and leveraging massive user data to build revolutionary recommendation technologies. By pushing the boundaries of deep learning and large-scale system design, we strive to achieve breakthroughs in recommendation accuracy, user engagement, and scalability to serve billions of users worldwide.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Design and develop next-generation large-scale recommendation systems optimized for personalized, engaging, and scalable user experiences.
- Leverage state-of-the-art machine learning and deep learning techniques, including large model technologies（LLM and MLLM, etc), to enhance recommendation performance and accuracy.
- Collaborate with cross-disciplinary teams, including infrastructure engineers, pmo, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.
You will be joining TikTok's Next-Generation Recommendation team, focused on pioneering cutting-edge recommendation systems powered by advanced large-model technologies. This team is dedicated to advancing TikTok’s personalized content discovery and user experiences by harnessing the power of large models and leveraging massive user data to build revolutionary recommendation technologies. By pushing the boundaries of deep learning and large-scale system design, we strive to achieve breakthroughs in recommendation accuracy, user engagement, and scalability to serve billions of users worldwide.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Design and develop next-generation large-scale recommendation systems optimized for personalized, engaging, and scalable user experiences.
- Leverage state-of-the-art machine learning and deep learning techniques, including large model technologies（LLM and MLLM, etc), to enhance recommendation performance and accuracy.
- Collaborate with cross-disciplinary teams, including infrastructure engineers, pmo, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.