Research Engineer (AI Infrastructure) - Large Model Applications - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Design and develop AI infrastructure for large-scale recommendation and search systems, focusing on distributed training, inference acceleration, and multimodal data processing.
Role type
Research Engineer (AI Infrastructure)
Builds
Efficient, stable, and scalable large-model solutions for search, advertising, and recommendation scenarios
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 optimization, cost optimization
Preferred skills
Publications in CCF-A journals/conferences (VLDB, SIGIR, OSDI)
Technologies
LLMs, RAG, multimodal data processing, distributed training systems
Responsibilities
Redesign native training and inference architecture for LLMs, optimize AI infrastructure for extreme performance, innovate end-to-end generative paradigms, build multimodal data infrastructure, develop RAG-based application systems
Seniority
PhD level, Research Engineer