Backend Engineer, Large Model Knowledge System/Content understanding/RAG (ByteDance Singapore)

Build and iterate a multimodal knowledge base and retrieval system powering large-model RAG for massive content. Optimize vector computing components, model inference, and large-scale vector retrieval and video representation models. Design and maintain backend architectures for in-house vector databases, support multimodal unstructured data processing, and drive cloud-native capabilities like monitoring, billing, and elastic scheduling.