微信搜索-算法工程师-个性化推荐/搜索
Tencent
微信搜索-算法工程师-个性化推荐/搜索
Job Description
微信搜索-算法工程师-个性化推荐/搜索
📋 Job Overview
The role involves participating in the personalized recommendation and search algorithm optimization for WeChat's search emoji business, aiming to enhance the experience for WeChat's massive user base through technical improvements. Key work includes sequence modeling ranking, multi-queue recall, user representation, crowd optimization, and cold start strategies. The position explores cutting-edge personalization technologies, such as long sequence modeling, user interest representation learning, large model applications, generative recommendation/search, and massive behavior analysis for practical implementation in emoji recommendation and search.
📍 Location: Guangzhou, China
🏢 Business Unit: WXG
📄 Full Description
2.工作内容包括并不限于：序列建模排序、多队列召回、用户表征、人群优化、冷启动等；
3.涉及技术包括并不限于：长序列建模、用户兴趣表征学习、大模型应用、生成式推荐/搜索、海量行为分析和信号挖掘等；
4.持续探索前沿个性化技术在表情推荐/搜索业务中的落地应用。
🎯 Key Responsibilities
- Participate in personalized recommendation/search algorithm optimization for WeChat search emoji business to improve user experience
- Conduct sequence modeling ranking, multi-queue recall, user representation, crowd optimization, cold start, etc.
- Apply and explore frontier personalization technologies in emoji recommendation/search business
🛠️ Required Skills
- Long sequence modeling
- User interest representation learning
- Large model applications
- Generative recommendation/search
- Massive behavior analysis and signal mining
Locations
- Guangzhou, 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.
Skills Required
- Long sequence modelingintermediate
- User interest representation learningintermediate
- Large model applicationsintermediate
- Generative recommendation/searchintermediate
- Massive behavior analysis and signal miningintermediate
Responsibilities
- Participate in personalized recommendation/search algorithm optimization for WeChat search emoji business to improve user experience
- Conduct sequence modeling ranking, multi-queue recall, user representation, crowd optimization, cold start, etc.
- Apply and explore frontier personalization technologies in emoji recommendation/search business
Tags & Categories
微信搜索-算法工程师-个性化推荐/搜索
Tencent
微信搜索-算法工程师-个性化推荐/搜索
Job Description
微信搜索-算法工程师-个性化推荐/搜索
📋 Job Overview
The role involves participating in the personalized recommendation and search algorithm optimization for WeChat's search emoji business, aiming to enhance the experience for WeChat's massive user base through technical improvements. Key work includes sequence modeling ranking, multi-queue recall, user representation, crowd optimization, and cold start strategies. The position explores cutting-edge personalization technologies, such as long sequence modeling, user interest representation learning, large model applications, generative recommendation/search, and massive behavior analysis for practical implementation in emoji recommendation and search.
📍 Location: Guangzhou, China
🏢 Business Unit: WXG
📄 Full Description
2.工作内容包括并不限于：序列建模排序、多队列召回、用户表征、人群优化、冷启动等；
3.涉及技术包括并不限于：长序列建模、用户兴趣表征学习、大模型应用、生成式推荐/搜索、海量行为分析和信号挖掘等；
4.持续探索前沿个性化技术在表情推荐/搜索业务中的落地应用。
🎯 Key Responsibilities
- Participate in personalized recommendation/search algorithm optimization for WeChat search emoji business to improve user experience
- Conduct sequence modeling ranking, multi-queue recall, user representation, crowd optimization, cold start, etc.
- Apply and explore frontier personalization technologies in emoji recommendation/search business
🛠️ Required Skills
- Long sequence modeling
- User interest representation learning
- Large model applications
- Generative recommendation/search
- Massive behavior analysis and signal mining
Locations
- Guangzhou, 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.
Skills Required
- Long sequence modelingintermediate
- User interest representation learningintermediate
- Large model applicationsintermediate
- Generative recommendation/searchintermediate
- Massive behavior analysis and signal miningintermediate
Responsibilities
- Participate in personalized recommendation/search algorithm optimization for WeChat search emoji business to improve user experience
- Conduct sequence modeling ranking, multi-queue recall, user representation, crowd optimization, cold start, etc.
- Apply and explore frontier personalization technologies in emoji recommendation/search business
Tags & Categories