元宝-大模型后训练算法工程师
Tencent
元宝-大模型后训练算法工程师
Job Description
元宝-大模型后训练算法工程师
📋 Job Overview
The role focuses on fine-tuning large models for AI application scenarios, optimizing PostTraining algorithms like SFT, RM, and RL for better training efficiency and user experience. It involves researching automated synthesis of high-quality data across domains and building efficient online data flywheel pipelines. Additionally, the position collaborates with product and engineering teams to explore innovative LLM applications in areas such as creation, education, finance, and code.
📍 Location: Shenzhen, China
🏢 Business Unit: CSIG
📄 Full Description
2.研究各领域高质量数据的自动化合成方法，建设高效的线上数据飞轮链路；
3.配合产品和工程，探索LLM在创作、教育、金融、代码等场景下的创新应用。
🎯 Key Responsibilities
- Fine-tune large models for AI application scenarios and optimize PostTraining (SFT/RM/RL) algorithms for training efficiency and user experience effects
- Research automated synthesis methods for high-quality data in various domains and build efficient online data flywheel pipelines
- Collaborate with product and engineering teams to explore innovative applications of LLMs in creation, education, finance, code, and other scenarios
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Fine-tune large models for AI application scenarios and optimize PostTraining (SFT/RM/RL) algorithms for training efficiency and user experience effects
- Research automated synthesis methods for high-quality data in various domains and build efficient online data flywheel pipelines
- Collaborate with product and engineering teams to explore innovative applications of LLMs in creation, education, finance, code, and other scenarios
Tags & Categories
元宝-大模型后训练算法工程师
Tencent
元宝-大模型后训练算法工程师
Job Description
元宝-大模型后训练算法工程师
📋 Job Overview
The role focuses on fine-tuning large models for AI application scenarios, optimizing PostTraining algorithms like SFT, RM, and RL for better training efficiency and user experience. It involves researching automated synthesis of high-quality data across domains and building efficient online data flywheel pipelines. Additionally, the position collaborates with product and engineering teams to explore innovative LLM applications in areas such as creation, education, finance, and code.
📍 Location: Shenzhen, China
🏢 Business Unit: CSIG
📄 Full Description
2.研究各领域高质量数据的自动化合成方法，建设高效的线上数据飞轮链路；
3.配合产品和工程，探索LLM在创作、教育、金融、代码等场景下的创新应用。
🎯 Key Responsibilities
- Fine-tune large models for AI application scenarios and optimize PostTraining (SFT/RM/RL) algorithms for training efficiency and user experience effects
- Research automated synthesis methods for high-quality data in various domains and build efficient online data flywheel pipelines
- Collaborate with product and engineering teams to explore innovative applications of LLMs in creation, education, finance, code, and other scenarios
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Fine-tune large models for AI application scenarios and optimize PostTraining (SFT/RM/RL) algorithms for training efficiency and user experience effects
- Research automated synthesis methods for high-quality data in various domains and build efficient online data flywheel pipelines
- Collaborate with product and engineering teams to explore innovative applications of LLMs in creation, education, finance, code, and other scenarios
Tags & Categories