Research Engineer (AI Infrastructure) - Large Model Applications - Global Tech Research Program - 2027 Start (PhD)
Tasks
- Abstract common components and services
- Accelerate inference on heterogeneous hardware
- Build data middle office
- Build multimodal data infrastructure
- Build recommendation middle office
- Design recommendation and search system architecture
- Develop RAG based application system
- Implement multimodal data representation
- Improve system stability and high availability
- Optimize distributed training performance
- Optimize online service performance
- Process offline data streams
- Redesign native training and inference architecture for LLMs
- Resolve system bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
Data Processing | Distributed Training | Heterogeneous hardware | High Availability | Inference acceleration | Language Models | Large Language Models | Multimodal Data | Multimodal Data Processing | Multimodal Learning | Performance optimization | RAG | Retrieval-Augmented Generation | Scalability | System Architecture
Education
Roles
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