Research scientist - TikTok Next Generation Recommendation
TikTokAbout the role
TikTok's Next-Generation Recommendation team focusing 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 interdisciplinary talents, such as recommendation algorithm experts who are not only deeply familiar with existing practices in recommendation systems but also bring unique and innovative perspectives to recommendation methodologies. Additionally, we seek multimodal large-model experts who can significantly enhance the precision of video content understanding, as well as AI infrastructure engineers who excel in optimizing model performance to its fullest potential. These individuals should be passionate about developing next-generation intelligent and user-centric recommendation systems capable of deeply understanding user interests. In this role, you will work closely with cross-functional teams to tackle complex personalization challenges and drive the evolution and scalability of recommendation systems powered by advanced large models.
Responsibilities
1- Design and develop next-generation large-scale recommendation systems optimized for personalized, engaging, and scalable user experiences.
2- Leverage state-of-the-art machine learning and deep learning techniques, including large model technologies, to enhance recommendation performance and accuracy.
3- Collaborate with cross-disciplinary teams, including infrastructure engineers, product leaders, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s