Research Engineer Intern (AI Infrastructure) - Large Model Applications - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Design and develop AI infrastructure for large models to support search, advertising, and recommendation systems, focusing on distributed training, inference acceleration, and multimodal data processing.
Role type
Research Engineer Intern (AI Infrastructure)
Builds
Efficient, stable, and scalable large-model solutions for TikTok's recommendation and search architecture
Domain
AI Infrastructure / Large Language Models / Multimodal Systems
Deliverable
production ML models
Required skills
PhD in AI/CS/CE, C/C++ or Python, data structures, algorithms, engineering mindset, performance/cost optimization
Preferred skills
Publications in VLDB/SIGIR/OSDI, resilience, innovation drive
Technologies
Large models, distributed training, inference acceleration, RAG, multimodal data
Responsibilities
Redesign native training and inference architecture for LLMs, optimize extreme performance and AI infrastructure, innovate end-to-end generative paradigms, build multimodal data infrastructure, develop RAG-based application systems
Seniority
Intern, PhD candidate