Backend Engineer - Large Model Knowledge System/Content understanding/RAG (ByteDance Singapore)
Tasks
- Build multimodal content understanding pipeline
- Design large model RAG architecture
- Drive cloud native monitoring and billing
- Implement elastic scheduling
- Implement vector retrieval systems
- Maintain vector database backend
- Optimize vector computing components
- Resolve service availability bottlenecks
- Support multimodal unstructured data storage
Perks/Benefits
- N/A
Skills/Tech-stack
Billing | C++ | CUDA | Cloud Computing | Database systems | Elastic Scheduling | Go | High Performance | High concurrency | High concurrency system | High-Performance Computing | High-concurrency system design | Java | Monitoring | Multimodal Processing | Performance Computing | PyTorch | Python | RAG | System design | TensorFlow | Vector Database | Vector Retrieval | Video Representation | Video representation models
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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