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微信基础-后台开发工程师-推荐系统后台

Tencent

Software and Technology Jobs

微信基础-后台开发工程师-推荐系统后台

full-timePosted: Nov 16, 2025

Job Description

微信基础-后台开发工程师-推荐系统后台

📋 Job Overview

The role involves building a personalized recommendation backend system for WeChat's diverse content formats like public accounts, long videos, and short videos, ensuring high-performance and reliable global user experiences. Responsibilities include supporting algorithm implementation through sample flow construction for online model training, user profiling, and content indexing. Additionally, it entails developing backend services for content understanding, geographic location, and mini-program component retrieval to enable cross-scenario data interactions and functionalities.

📍 Location: Beijing, China

🏢 Business Unit: WXG

📄 Full Description

1.负责搭建支撑公众号、长视频、短视频等多形态内容混排的个性化推荐后台系统,保证全球用户智能内容推荐的高性能、高可靠体验;
2.支持算法在业务的落地,包括在线推荐模型训练需要的样本流构建、用户画像、内容池索引等;
3.支持公众号、视频号的内容理解、地理位置及小程序组件检索关联的后端服务,支撑跨场景业务的数据交互与功能实现。

🎯 Key Responsibilities

  • 负责搭建支撑公众号、长视频、短视频等多形态内容混排的个性化推荐后台系统,保证全球用户智能内容推荐的高性能、高可靠体验
  • 支持算法在业务的落地,包括在线推荐模型训练需要的样本流构建、用户画像、内容池索引等
  • 支持公众号、视频号的内容理解、地理位置及小程序组件检索关联的后端服务,支撑跨场景业务的数据交互与功能实现

Locations

  • Beijing, China

Salary

Estimated Salary Rangemedium confidence

250,000 - 500,000 CNY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Responsibilities

  • 负责搭建支撑公众号、长视频、短视频等多形态内容混排的个性化推荐后台系统,保证全球用户智能内容推荐的高性能、高可靠体验
  • 支持算法在业务的落地,包括在线推荐模型训练需要的样本流构建、用户画像、内容池索引等
  • 支持公众号、视频号的内容理解、地理位置及小程序组件检索关联的后端服务,支撑跨场景业务的数据交互与功能实现

Target Your Resume for "微信基础-后台开发工程师-推荐系统后台" , Tencent

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TencentBeijingChinaWXGWXG

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Tencent logo

微信基础-后台开发工程师-推荐系统后台

Tencent

Software and Technology Jobs

微信基础-后台开发工程师-推荐系统后台

full-timePosted: Nov 16, 2025

Job Description

微信基础-后台开发工程师-推荐系统后台

📋 Job Overview

The role involves building a personalized recommendation backend system for WeChat's diverse content formats like public accounts, long videos, and short videos, ensuring high-performance and reliable global user experiences. Responsibilities include supporting algorithm implementation through sample flow construction for online model training, user profiling, and content indexing. Additionally, it entails developing backend services for content understanding, geographic location, and mini-program component retrieval to enable cross-scenario data interactions and functionalities.

📍 Location: Beijing, China

🏢 Business Unit: WXG

📄 Full Description

1.负责搭建支撑公众号、长视频、短视频等多形态内容混排的个性化推荐后台系统,保证全球用户智能内容推荐的高性能、高可靠体验;
2.支持算法在业务的落地,包括在线推荐模型训练需要的样本流构建、用户画像、内容池索引等;
3.支持公众号、视频号的内容理解、地理位置及小程序组件检索关联的后端服务,支撑跨场景业务的数据交互与功能实现。

🎯 Key Responsibilities

  • 负责搭建支撑公众号、长视频、短视频等多形态内容混排的个性化推荐后台系统,保证全球用户智能内容推荐的高性能、高可靠体验
  • 支持算法在业务的落地,包括在线推荐模型训练需要的样本流构建、用户画像、内容池索引等
  • 支持公众号、视频号的内容理解、地理位置及小程序组件检索关联的后端服务,支撑跨场景业务的数据交互与功能实现

Locations

  • Beijing, China

Salary

Estimated Salary Rangemedium confidence

250,000 - 500,000 CNY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Responsibilities

  • 负责搭建支撑公众号、长视频、短视频等多形态内容混排的个性化推荐后台系统,保证全球用户智能内容推荐的高性能、高可靠体验
  • 支持算法在业务的落地,包括在线推荐模型训练需要的样本流构建、用户画像、内容池索引等
  • 支持公众号、视频号的内容理解、地理位置及小程序组件检索关联的后端服务,支撑跨场景业务的数据交互与功能实现

Target Your Resume for "微信基础-后台开发工程师-推荐系统后台" , Tencent

Get personalized recommendations to optimize your resume specifically for 微信基础-后台开发工程师-推荐系统后台. Takes only 15 seconds!

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

Check Your ATS Score for "微信基础-后台开发工程师-推荐系统后台" , 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

TencentBeijingChinaWXGWXG

Answer 10 quick questions to check your fit for 微信基础-后台开发工程师-推荐系统后台 @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.