QQ浏览器-深度学习算法工程师（RAG方向）
Tencent
QQ浏览器-深度学习算法工程师（RAG方向）
Job Description
QQ浏览器-深度学习算法工程师（RAG方向）
📋 Job Overview
The role focuses on developing and optimizing retrieval-augmented generation (RAG) technologies for educational scenarios in QQ Browser. Responsibilities include enhancing search and retrieval techniques, researching algorithms for problem-solving with large models, and applying cutting-edge methods to learning tools. The position involves collaboration with product teams to provide technical insights for improvements.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
2.负责题目搜索和大模型解题算法研究工作；
3.跟进业界前沿算法，结合学习垂类搜索和学习工具建设等场景应用在相关的项目中；
4.参与产品讨论，基于技术对产品提出改进建议。
🎯 Key Responsibilities
- Responsible for optimizing retrieval augmentation technologies in educational RAG scenarios, including requirement understanding, recall, ranking, and other technical enhancements to improve retrieval effectiveness.
- Responsible for research on problem search and large model problem-solving algorithms.
- Follow industry-leading algorithms and apply them to relevant projects in scenarios such as educational vertical search and learning tool development.
- Participate in product discussions and propose improvement suggestions based on technical expertise.
Locations
- Beijing, 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
- Responsible for optimizing retrieval augmentation technologies in educational RAG scenarios, including requirement understanding, recall, ranking, and other technical enhancements to improve retrieval effectiveness.
- Responsible for research on problem search and large model problem-solving algorithms.
- Follow industry-leading algorithms and apply them to relevant projects in scenarios such as educational vertical search and learning tool development.
- Participate in product discussions and propose improvement suggestions based on technical expertise.
Tags & Categories
Answer 10 quick questions to check your fit for QQ浏览器-深度学习算法工程师（RAG方向） @ Tencent.
Related Books and Jobs
QQ浏览器-深度学习算法工程师（RAG方向）
Tencent
QQ浏览器-深度学习算法工程师（RAG方向）
Job Description
QQ浏览器-深度学习算法工程师（RAG方向）
📋 Job Overview
The role focuses on developing and optimizing retrieval-augmented generation (RAG) technologies for educational scenarios in QQ Browser. Responsibilities include enhancing search and retrieval techniques, researching algorithms for problem-solving with large models, and applying cutting-edge methods to learning tools. The position involves collaboration with product teams to provide technical insights for improvements.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
2.负责题目搜索和大模型解题算法研究工作；
3.跟进业界前沿算法，结合学习垂类搜索和学习工具建设等场景应用在相关的项目中；
4.参与产品讨论，基于技术对产品提出改进建议。
🎯 Key Responsibilities
- Responsible for optimizing retrieval augmentation technologies in educational RAG scenarios, including requirement understanding, recall, ranking, and other technical enhancements to improve retrieval effectiveness.
- Responsible for research on problem search and large model problem-solving algorithms.
- Follow industry-leading algorithms and apply them to relevant projects in scenarios such as educational vertical search and learning tool development.
- Participate in product discussions and propose improvement suggestions based on technical expertise.
Locations
- Beijing, 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
- Responsible for optimizing retrieval augmentation technologies in educational RAG scenarios, including requirement understanding, recall, ranking, and other technical enhancements to improve retrieval effectiveness.
- Responsible for research on problem search and large model problem-solving algorithms.
- Follow industry-leading algorithms and apply them to relevant projects in scenarios such as educational vertical search and learning tool development.
- Participate in product discussions and propose improvement suggestions based on technical expertise.
Tags & Categories
Answer 10 quick questions to check your fit for QQ浏览器-深度学习算法工程师（RAG方向） @ Tencent.
Related Books and Jobs