Backend Engineer, Large Model Knowledge System/Content understanding/RAG (ByteDance Singapore)
Tasks
- Build multimodal content understanding pipeline
- Build multimodal video representation models
- Design large model RAG architecture
- Extend cloud native monitoring
- Implement large scale vector retrieval
- Improve billing and elastic scheduling
- Maintain vector database backend for unstructured data
- Optimize knowledge base architecture
- Optimize vector computing components
- Resolve service availability and throughput bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
Backend architecture | Billing | Cloud Native | Elastic Scheduling | Knowledge Base | Model Inference | Monitoring | Multimodal Learning | RAG | Retrieval-Augmented Generation | Vector Database | Vector Retrieval | Video Representation
Education
N/A
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