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QQ浏览器-深度学习算法工程师(RAG方向)

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Software and Technology Jobs

QQ浏览器-深度学习算法工程师(RAG方向)

full-timePosted: Nov 27, 2025

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

1.负责学习垂类RAG场景下的检索增强技术优化,包括需求理解、召回、排序等技术优化,提升检索效果;
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

Estimated Salary Rangemedium confidence

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.

Target Your Resume for "QQ浏览器-深度学习算法工程师(RAG方向)" , Tencent

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AI-powered keyword optimization
Skills matching & gap analysis
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ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

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TencentBeijingChinaCSIGCSIG

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~2 Minutes
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Tencent logo

QQ浏览器-深度学习算法工程师(RAG方向)

Tencent

Software and Technology Jobs

QQ浏览器-深度学习算法工程师(RAG方向)

full-timePosted: Nov 27, 2025

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

1.负责学习垂类RAG场景下的检索增强技术优化,包括需求理解、召回、排序等技术优化,提升检索效果;
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

Estimated Salary Rangemedium confidence

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.

Target Your Resume for "QQ浏览器-深度学习算法工程师(RAG方向)" , Tencent

Get personalized recommendations to optimize your resume specifically for QQ浏览器-深度学习算法工程师(RAG方向). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "QQ浏览器-深度学习算法工程师(RAG方向)" , Tencent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TencentBeijingChinaCSIGCSIG

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.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.