Applied Scientist - Monetization Technology - Global Frontier Tech Recruitment Program - 2027 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 monetization.
Role type
PhD-level Applied Scientist (Monetization & Foundation 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, trillion-level feature handling, millisecond response optimization
Preferred skills
Research results in NLP/CV/data modeling/algorithm optimization, top-tier conference publications (ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, ICCV, ECCV), C/C++ or Python proficiency
Technologies
LLMs, Large Recommender Models, AIGC, retrieval, ranking, bidding frameworks
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 full-process training and online inference frameworks for foundation models.
Seniority
PhD, Research & Implementation
