Advancing large-scale recommender systems that power TikTok’s 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
- Successful candidates must be able to commit to an onboarding date by end of year 2026.
- Excellent analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams.
- We are looking for Machine Learning Scientists passionate about building high-performance, scalable recommendation systems.
- As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities.
- We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
