TikTok is looking to solve the problem of advancing large-scale recommender systems to power personalized content discovery and user experiences, by developing cutting-edge models to optimize recommendation accuracy, user engagement, and scalability across billions of users.
Requirements
- Experience in one or more areas of recommender systems, machine learning, computer vision, or natural language processing.
- Proficiency in programming skills, solid foundation in data structures and algorithms.
- Strong familiarity with deep learning architectures such as transformers, CNNs, RNNs, LSTMs, etc.
- Experience in building large-scale recommender systems that handle vast, diverse datasets and complex user interactions.
- Publications in top-tier venues such as RecSys, SIGGRAPH, CVPR, ICCV, ICML, NeurIPS, ICLR, or similar conferences/journals.
Responsibilities
- Research and develop large-scale recommender systems for personalized, engaging user experiences, focusing on scalability, accuracy, and performance.
- Apply advanced machine learning and deep learning techniques to optimize recommendation algorithms for TikTok’s diverse user base.
- Manage the end-to-end lifecycle of recommender models, from training and fine-tuning to deployment, monitoring, and continuous improvement.
- Analyze complex data to uncover user preferences, behaviors, and trends, driving personalization and enhancing TikTok’s recommendation capabilities.
- Collaborate with cross-functional teams (infrastructure, product, research, etc.) to design and implement innovative solutions that improve the relevance and diversity of TikTok recommendations.
Other
- Current pursuing a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Excellent analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
- Must be available for an internship in 2026.
- Must state availability clearly in resume (Start date, End date)
