Applied Scientist Intern - Monetization Technology - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
PhD intern building a next-generation intelligent advertising engine by integrating foundation models (LLMs) with TikTok's global advertising scenarios to solve technical challenges in recommendation and monetization.
Role type
PhD intern, Applied Scientist (Monetization Technology)
Builds
Next-generation intelligent advertising engine with autonomous decision-making capabilities for TikTok
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, intelligent ad placement optimization, full-process training and online inference framework optimization, LLM application and deployment, algorithm optimization
Preferred skills
Research results in NLP/CV/data modeling, strong publications in top conferences (ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, etc.), C/C++ or Python proficiency
Technologies
LLMs, Large Recommender 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 user LTV and ROAS; Optimize training and inference frameworks for foundation models to balance compute costs and latency
