Infrastructure Engineer Graduate (TikTok Recommendation Architecture) - 2027 Start (PhD)
Core
Design and development of Recommendation and Search system architecture, focusing on building next-generation generative AI infrastructure for search, advertising, and recommendation businesses.
Role type
PhD-level Infrastructure Engineer (Generative AI Systems)
Builds
Next-generation generative AI infrastructure, recommendation middle-office, and data middle-office
Domain
Internet / Generative AI / Distributed Systems
Deliverable
infrastructure
Required skills
C/C++ or Python, data structures, fundamental algorithms, distributed training, inference acceleration, heterogeneous hardware utilization, multimodal data processing, system-level innovation
Preferred skills
Collaboration with algorithm engineers and product managers, exploration of new technologies in generative recommendation
Technologies
Large models, multimodal technologies, distributed systems
Responsibilities
Build efficient, stable, and scalable large-model solutions; overcome performance bottlenecks in real-time performance and scalability; enable ultra-long context handling and millisecond-level response latency
Seniority
PhD, Research/Engineering IC
