微信搜索-排序算法工程师
Tencent
微信搜索-排序算法工程师
Job Description
微信搜索-排序算法工程师
📋 Job Overview
The position is for a Ranking Algorithm Engineer in WeChat Search at Tencent, focusing on optimizing the ranking of articles and images in search results. Responsibilities include developing and improving search ranking models, personalization, CTR prediction, timeliness, and content quality. The role also involves solving real-world search business problems and leveraging the latest large model technologies like SFT and reinforcement learning to enhance user experience.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.解决实际搜索业务问题，包括但不限于排序优化、索引筛选、内容价值衡量等，不断提升搜索体验和效果；
3.跟踪最新大模型技术，通过SFT、强化学习等相关LLM技术持续提升搜索体验。
🎯 Key Responsibilities
- Responsible for optimizing WeChat search article ranking, including but not limited to search ranking models and mechanisms, personalized ranking, CTR estimation, timeliness, content quality authority, and other modules' continuous optimization.
- Solve actual search business problems, including but not limited to ranking optimization, index filtering, content value measurement, etc., continuously improving search experience and effectiveness.
- Track the latest large model technologies, and continuously improve search experience through SFT, reinforcement learning, and other related LLM technologies.
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 WeChat search article ranking, including but not limited to search ranking models and mechanisms, personalized ranking, CTR estimation, timeliness, content quality authority, and other modules' continuous optimization.
- Solve actual search business problems, including but not limited to ranking optimization, index filtering, content value measurement, etc., continuously improving search experience and effectiveness.
- Track the latest large model technologies, and continuously improve search experience through SFT, reinforcement learning, and other related LLM technologies.
Tags & Categories
Answer 10 quick questions to check your fit for 微信搜索-排序算法工程师 @ Tencent.
Related Books and Jobs
微信搜索-排序算法工程师
Tencent
微信搜索-排序算法工程师
Job Description
微信搜索-排序算法工程师
📋 Job Overview
The position is for a Ranking Algorithm Engineer in WeChat Search at Tencent, focusing on optimizing the ranking of articles and images in search results. Responsibilities include developing and improving search ranking models, personalization, CTR prediction, timeliness, and content quality. The role also involves solving real-world search business problems and leveraging the latest large model technologies like SFT and reinforcement learning to enhance user experience.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.解决实际搜索业务问题，包括但不限于排序优化、索引筛选、内容价值衡量等，不断提升搜索体验和效果；
3.跟踪最新大模型技术，通过SFT、强化学习等相关LLM技术持续提升搜索体验。
🎯 Key Responsibilities
- Responsible for optimizing WeChat search article ranking, including but not limited to search ranking models and mechanisms, personalized ranking, CTR estimation, timeliness, content quality authority, and other modules' continuous optimization.
- Solve actual search business problems, including but not limited to ranking optimization, index filtering, content value measurement, etc., continuously improving search experience and effectiveness.
- Track the latest large model technologies, and continuously improve search experience through SFT, reinforcement learning, and other related LLM technologies.
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 WeChat search article ranking, including but not limited to search ranking models and mechanisms, personalized ranking, CTR estimation, timeliness, content quality authority, and other modules' continuous optimization.
- Solve actual search business problems, including but not limited to ranking optimization, index filtering, content value measurement, etc., continuously improving search experience and effectiveness.
- Track the latest large model technologies, and continuously improve search experience through SFT, reinforcement learning, and other related LLM technologies.
Tags & Categories
Answer 10 quick questions to check your fit for 微信搜索-排序算法工程师 @ Tencent.
Related Books and Jobs