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Large Model Knowledge System Architecture Engineer, ByteRec
About The Team
The Volcano Engine Vector Database Knowledge Base team supports both internal and ToB customer requirements. We are responsible for the massive content processing of the Volcano Engine large model knowledge base and the effect tuning, evaluation and monitoring, and algorithm architecture optimization of the retrieval system architecture. We also provides technical solutions in framework construction, new feature delivery, and vertical solution construction, including:
Responsibilities
1. Optimize the architecture of the knowledge system around the capabilities of large models and knowledge bases, and design and reconstruct the measurement system and industry delivery system for the capabilities of the knowledge system;
2. Participate in the technical solution design and development of the framework and middleware of the large model RAG architecture to achieve the feature delivery and demand support of the Public Cloud product;
3. Based on the application scenarios of large models, link up and down the ecosystem, provide a general-purpose domain Knowledge Base solution, encapsulate common patterns and processes, and provide stable external service capabilities;
4. Explore the design and development of the MultiModal Machine Learning Knowledge Base;
The Volcano Engine Vector Database Knowledge Base team supports both internal and ToB customer requirements. We are responsible for the massive content processing of the Volcano Engine large model knowledge base and the effect tuning, evaluation and monitoring, and algorithm architecture optimization of the retrieval system architecture. We also provides technical solutions in framework construction, new feature delivery, and vertical solution construction, including:
Responsibilities
1. Optimize the architecture of the knowledge system around the capabilities of large models and knowledge bases, and design and reconstruct the measurement system and industry delivery system for the capabilities of the knowledge system;
2. Participate in the technical solution design and development of the framework and middleware of the large model RAG architecture to achieve the feature delivery and demand support of the Public Cloud product;
3. Based on the application scenarios of large models, link up and down the ecosystem, provide a general-purpose domain Knowledge Base solution, encapsulate common patterns and processes, and provide stable external service capabilities;
4. Explore the design and development of the MultiModal Machine Learning Knowledge Base;