大模型研发平台后台工程师
Tencent
大模型研发平台后台工程师
Job Description
大模型研发平台后台工程师
📋 Job Overview
The Backend Engineer for the Large Model R&D Platform at Tencent focuses on developing robust systems for managing the full lifecycle of training data for large models, including metadata, lineage, quality monitoring, and automated evaluation to ensure high-quality data provision. The role involves designing efficient data experiment workflows, building insightful capabilities for training data, and implementing engineering pipelines for model evaluation to support iterative improvements. Additionally, the position requires staying abreast of industry best practices in large model R&D and data platforms, adapting and implementing them effectively.
📍 Location: Beijing, China
🏢 Business Unit: TEG
📄 Full Description
2.设计和实现高效稳定的大模型数据实验流程，构建训练数据丰富全面的洞察能力，提高训练数据治理水平；
3.设计和实现大模型评测的工程链路和平台化能力，为大模型迭代提供准确、完善和高效的评测服务；
4.不断跟进业界在大模型研发平台、大模型数据平台方向的优秀实践，并针对性改良和落地。
🎯 Key Responsibilities
- Design and implement full lifecycle management for large model training data, covering metadata and lineage management, quality monitoring, automated evaluation systems, etc., to provide high-quality data for large models.
- Design and implement efficient and stable large model data experiment workflows, build comprehensive insights into training data, and improve training data governance levels.
- Design and implement engineering pipelines and platform capabilities for large model evaluation, providing accurate, comprehensive, and efficient evaluation services for large model iterations.
- Continuously follow industry best practices in large model R&D platforms and large model data platforms, and make targeted improvements and implementations.
Locations
- Beijing, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Design and implement full lifecycle management for large model training data, covering metadata and lineage management, quality monitoring, automated evaluation systems, etc., to provide high-quality data for large models.
- Design and implement efficient and stable large model data experiment workflows, build comprehensive insights into training data, and improve training data governance levels.
- Design and implement engineering pipelines and platform capabilities for large model evaluation, providing accurate, comprehensive, and efficient evaluation services for large model iterations.
- Continuously follow industry best practices in large model R&D platforms and large model data platforms, and make targeted improvements and implementations.
Tags & Categories
Answer 10 quick questions to check your fit for 大模型研发平台后台工程师 @ Tencent.
Related Books and Jobs
大模型研发平台后台工程师
Tencent
大模型研发平台后台工程师
Job Description
大模型研发平台后台工程师
📋 Job Overview
The Backend Engineer for the Large Model R&D Platform at Tencent focuses on developing robust systems for managing the full lifecycle of training data for large models, including metadata, lineage, quality monitoring, and automated evaluation to ensure high-quality data provision. The role involves designing efficient data experiment workflows, building insightful capabilities for training data, and implementing engineering pipelines for model evaluation to support iterative improvements. Additionally, the position requires staying abreast of industry best practices in large model R&D and data platforms, adapting and implementing them effectively.
📍 Location: Beijing, China
🏢 Business Unit: TEG
📄 Full Description
2.设计和实现高效稳定的大模型数据实验流程，构建训练数据丰富全面的洞察能力，提高训练数据治理水平；
3.设计和实现大模型评测的工程链路和平台化能力，为大模型迭代提供准确、完善和高效的评测服务；
4.不断跟进业界在大模型研发平台、大模型数据平台方向的优秀实践，并针对性改良和落地。
🎯 Key Responsibilities
- Design and implement full lifecycle management for large model training data, covering metadata and lineage management, quality monitoring, automated evaluation systems, etc., to provide high-quality data for large models.
- Design and implement efficient and stable large model data experiment workflows, build comprehensive insights into training data, and improve training data governance levels.
- Design and implement engineering pipelines and platform capabilities for large model evaluation, providing accurate, comprehensive, and efficient evaluation services for large model iterations.
- Continuously follow industry best practices in large model R&D platforms and large model data platforms, and make targeted improvements and implementations.
Locations
- Beijing, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Design and implement full lifecycle management for large model training data, covering metadata and lineage management, quality monitoring, automated evaluation systems, etc., to provide high-quality data for large models.
- Design and implement efficient and stable large model data experiment workflows, build comprehensive insights into training data, and improve training data governance levels.
- Design and implement engineering pipelines and platform capabilities for large model evaluation, providing accurate, comprehensive, and efficient evaluation services for large model iterations.
- Continuously follow industry best practices in large model R&D platforms and large model data platforms, and make targeted improvements and implementations.
Tags & Categories
Answer 10 quick questions to check your fit for 大模型研发平台后台工程师 @ Tencent.
Related Books and Jobs