腾讯广告-生成式推荐大模型-排序算法工程师
Tencent
腾讯广告-生成式推荐大模型-排序算法工程师
Job Description
腾讯广告-生成式推荐大模型-排序算法工程师
📋 Job Overview
The role focuses on optimizing the ranking capabilities of generative end-to-end models in Tencent Advertising's generative recommendation large model team. Responsibilities include enhancing model performance, designing and optimizing value estimation models, and implementing cutting-edge recommendation technologies in ranking scenarios. This position aims to explore the upper limits of model scaling laws to improve overall recommendation efficiency.
📍 Location: Beijing, China
🏢 Business Unit: CDG
📄 Full Description
2.负责生成式值预估模型的样本设计、模型结构设计和效果优化；
3.负责前沿推荐技术在排序场景的落地，探索模型Scalinglaw上限。
🎯 Key Responsibilities
- Optimize the ranking capabilities of generative end-to-end models to enhance the sorting performance of generative end-to-end models
- Design samples, model structures, and optimize effects for generative value estimation models
- Implement cutting-edge recommendation technologies in ranking scenarios and explore the upper limits of model scaling laws
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
- Optimize the ranking capabilities of generative end-to-end models to enhance the sorting performance of generative end-to-end models
- Design samples, model structures, and optimize effects for generative value estimation models
- Implement cutting-edge recommendation technologies in ranking scenarios and explore the upper limits of model scaling laws
Tags & Categories
腾讯广告-生成式推荐大模型-排序算法工程师
Tencent
腾讯广告-生成式推荐大模型-排序算法工程师
Job Description
腾讯广告-生成式推荐大模型-排序算法工程师
📋 Job Overview
The role focuses on optimizing the ranking capabilities of generative end-to-end models in Tencent Advertising's generative recommendation large model team. Responsibilities include enhancing model performance, designing and optimizing value estimation models, and implementing cutting-edge recommendation technologies in ranking scenarios. This position aims to explore the upper limits of model scaling laws to improve overall recommendation efficiency.
📍 Location: Beijing, China
🏢 Business Unit: CDG
📄 Full Description
2.负责生成式值预估模型的样本设计、模型结构设计和效果优化；
3.负责前沿推荐技术在排序场景的落地，探索模型Scalinglaw上限。
🎯 Key Responsibilities
- Optimize the ranking capabilities of generative end-to-end models to enhance the sorting performance of generative end-to-end models
- Design samples, model structures, and optimize effects for generative value estimation models
- Implement cutting-edge recommendation technologies in ranking scenarios and explore the upper limits of model scaling laws
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
- Optimize the ranking capabilities of generative end-to-end models to enhance the sorting performance of generative end-to-end models
- Design samples, model structures, and optimize effects for generative value estimation models
- Implement cutting-edge recommendation technologies in ranking scenarios and explore the upper limits of model scaling laws
Tags & Categories