TikTok
Research Scientist Graduate (TikTok Recommendation-Large Recommender Models) - 2026 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- Completing or recently completed a PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
About the job
Research and develop scalable recommendation models that personalize TikTok content, from model training through deployment and ongoing improvement.
What you'll do
- Develop and optimize large-scale recommender systems for accuracy, performance, and engaging user experiences.
- Manage recommender models throughout training, fine-tuning, deployment, monitoring, and continuous improvement.
- Analyze user data and collaborate across teams to improve recommendation relevance and diversity.
What they ask for
- Completing or recently completed a PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Experience in one or more of recommender systems, machine learning, computer vision, or natural language processing.
- Programming proficiency and a solid foundation in data structures and algorithms.
- Strong familiarity with deep learning architectures such as transformers, CNNs, RNNs, or LSTMs.
Nice to have
- Experience building large-scale recommender systems for diverse datasets and complex user interactions.
- Publications in major AI venues such as RecSys, SIGGRAPH, CVPR, ICCV, ICML, NeurIPS, or ICLR.
Tools
transformers, CNNs, RNNs, LSTMs
AI focus
Develop and improve large-scale recommender models for personalized content discovery and user experiences.
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