Research Scientist - TikTok E-Commerce Recommendation Foundation
TikTok, Seattle, Washington
What you will do
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
- Advance the event-sequence-driven generative recommendation paradigm, integrating multimodal understanding and generative capabilities.
- Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design.
- Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.
- Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience.
What you need
- MS/PhD in Computer Science, related technical field or equivalent industrial research experience.
- Solid theoretical foundation in machine learning, deep learning, or information retrieval.
- Proficiency in Python and familiarity with mainstream deep learning frameworks (e.g., PyTorch).