腾讯广告-生成式推荐大模型-多模态算法工程师
Tencent
腾讯广告-生成式推荐大模型-多模态算法工程师
Job Description
腾讯广告-生成式推荐大模型-多模态算法工程师
📋 Job Overview
The role focuses on applying multimodal large models in advertising scenarios to enhance recommendation accuracy and user experience using text, images, videos, and other data. It involves innovative practices with generative AI for generating ad candidate sequences, end-to-end recommendations, and personalized ad creatives. Responsibilities include continuous optimization and iteration of algorithms to solve technical challenges in business applications.
📍 Location: Beijing, China
🏢 Business Unit: CDG
📄 Full Description
2.B.生成式推荐创新实践：探索生成式 AI 在广告推荐中的应用，包括但不限于生成候选广告候选序列、端到端生成推荐结果以及自动生成个性化广告文案、创意素材等，打造差异化推荐体验。；
3.C.算法效果优化与迭代：持续分析和优化推荐算法效果，通过模型迭代和策略创新等方式，解决实际业务中遇到的技术难题。
🎯 Key Responsibilities
- Apply multimodal large models deeply in advertising scenarios: Convert large model capabilities into practical ad recommendation solutions based on text, images, videos, and other multimodal data to improve recommendation precision and user experience.
- Innovate with generative recommendation practices: Explore generative AI applications in ad recommendations, including generating candidate ad sequences, end-to-end recommendation results, and automatically creating personalized ad copy and creative materials to build differentiated recommendation experiences.
- Optimize and iterate algorithm performance: Continuously analyze and optimize recommendation algorithm effects through model iterations and strategy innovations to address technical challenges in actual business operations.
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
- Apply multimodal large models deeply in advertising scenarios: Convert large model capabilities into practical ad recommendation solutions based on text, images, videos, and other multimodal data to improve recommendation precision and user experience.
- Innovate with generative recommendation practices: Explore generative AI applications in ad recommendations, including generating candidate ad sequences, end-to-end recommendation results, and automatically creating personalized ad copy and creative materials to build differentiated recommendation experiences.
- Optimize and iterate algorithm performance: Continuously analyze and optimize recommendation algorithm effects through model iterations and strategy innovations to address technical challenges in actual business operations.
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯广告-生成式推荐大模型-多模态算法工程师 @ Tencent.
Related Books and Jobs
腾讯广告-生成式推荐大模型-多模态算法工程师
Tencent
腾讯广告-生成式推荐大模型-多模态算法工程师
Job Description
腾讯广告-生成式推荐大模型-多模态算法工程师
📋 Job Overview
The role focuses on applying multimodal large models in advertising scenarios to enhance recommendation accuracy and user experience using text, images, videos, and other data. It involves innovative practices with generative AI for generating ad candidate sequences, end-to-end recommendations, and personalized ad creatives. Responsibilities include continuous optimization and iteration of algorithms to solve technical challenges in business applications.
📍 Location: Beijing, China
🏢 Business Unit: CDG
📄 Full Description
2.B.生成式推荐创新实践：探索生成式 AI 在广告推荐中的应用，包括但不限于生成候选广告候选序列、端到端生成推荐结果以及自动生成个性化广告文案、创意素材等，打造差异化推荐体验。；
3.C.算法效果优化与迭代：持续分析和优化推荐算法效果，通过模型迭代和策略创新等方式，解决实际业务中遇到的技术难题。
🎯 Key Responsibilities
- Apply multimodal large models deeply in advertising scenarios: Convert large model capabilities into practical ad recommendation solutions based on text, images, videos, and other multimodal data to improve recommendation precision and user experience.
- Innovate with generative recommendation practices: Explore generative AI applications in ad recommendations, including generating candidate ad sequences, end-to-end recommendation results, and automatically creating personalized ad copy and creative materials to build differentiated recommendation experiences.
- Optimize and iterate algorithm performance: Continuously analyze and optimize recommendation algorithm effects through model iterations and strategy innovations to address technical challenges in actual business operations.
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
- Apply multimodal large models deeply in advertising scenarios: Convert large model capabilities into practical ad recommendation solutions based on text, images, videos, and other multimodal data to improve recommendation precision and user experience.
- Innovate with generative recommendation practices: Explore generative AI applications in ad recommendations, including generating candidate ad sequences, end-to-end recommendation results, and automatically creating personalized ad copy and creative materials to build differentiated recommendation experiences.
- Optimize and iterate algorithm performance: Continuously analyze and optimize recommendation algorithm effects through model iterations and strategy innovations to address technical challenges in actual business operations.
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯广告-生成式推荐大模型-多模态算法工程师 @ Tencent.
Related Books and Jobs