Research Scientist - TikTok E-Commerce Recommendation Foundation
Core
Building unified Foundation Models for multi-scenario recommendation systems, integrating LLMs, multimodal understanding, and generative capabilities to advance from retrieval to re-ranking.
Role type
Senior IC research scientist (generative recommendation & foundation models)
Builds
Unified Foundation Models and intelligent recommendation agents
Domain
E-commerce, Recommendation Systems, Large Language Models (LLMs), Generative AI
Deliverable
production ML models
Required skills
Machine learning theory, Deep learning, Information retrieval, Python, PyTorch, Model training, Inference optimization
Preferred skills
Large-scale recommendation system development, Large-model training, LLM/VLM research, Reinforcement learning, Pre-training and post-training of Foundation Models
Technologies
LLMs, VLMs, PyTorch, Reinforcement Learning
Responsibilities
Build and optimize cross-scenario shared Foundation Models; Advance event-sequence-driven generative recommendation paradigms; Apply LLM technologies across retrieval, ranking, and re-ranking stages; Explore integration of LLMs/VLMs with recommendation systems; Research end-to-end generative recommendation and system optimization methods.
Seniority
Senior, hands-on IC
