Applied Scientist Intern (Recommendation AI Lab) - 2026 Start (PhD)
Core
Building a next-generation intelligent advertising engine by integrating foundation models (LLMs) with TikTok's global advertising business to solve technical challenges in recommendation and generative technologies.
Role type
PhD Research Intern (Recommendation AI & Generative Models)
Builds
Autonomous decision-making advertising systems, unified multimodal semantic models, and intelligent ad placement agents.
Domain
Advertising technology, Large Language Models (LLMs), Large Recommender Models, Generative AI
Deliverable
production ML models
Required skills
Foundation model scaling laws, unified multimodal semantic modeling, end-to-end unified modeling, generative full-link technologies, ultra-long sequence modeling, causal inference, LLM application and deployment, algorithm optimization
Preferred skills
Research results in NLP/CV/data modeling, strong publications in top conferences (ICLR, NeurIPS, ICML, ACL, CVPR), proficiency in Python or C/C++
Technologies
LLMs, Foundation Models, AIGC, Retrieval, Ranking, Bidding systems
Responsibilities
Explore scaling laws for foundation models in recommendation and advertising; Build an intelligent ad placement system optimized for Long-Term Value (LTV) and ROAS; Optimize the full-process training and online inference framework for foundation models.
Seniority
PhD Intern
