多模态搜索算法工程师
Tencent
多模态搜索算法工程师
Job Description
多模态搜索算法工程师
📋 Job Overview
The Multimodal Search Algorithm Engineer role at Tencent involves developing and optimizing multimodal search algorithms for AI search scenarios in products like Yuanbao and QQ Browser, including text-to-image, image-to-image, and text-to-video searches. The position focuses on enhancing search effectiveness through technical improvements in recall, relevance, ranking, and system optimization. It also entails exploring and applying cutting-edge multimodal search technologies in AI search business applications.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
2.工作内容包含但不限于：文图/图图/文视频召回、相关性、排序算法升级、系统优化等；
3.涉及技术包含但不限于：图片理解、图片质量、视频理解、多模态模型训练和调优、搜索召回、搜索相关性、搜索排序等；
4.持续探索前沿多模态搜索技术在AI搜索业务中的落地应用。
🎯 Key Responsibilities
- Participate in multimodal search algorithm development for AI search scenarios in Yuanbao, QQ Browser, etc., including text-to-image, image-to-image, text-to-video searches, and optimize to improve multimodal search performance.
- Work on text-image/image-image/text-video recall, relevance, ranking algorithm upgrades, and system optimization.
- Continuously explore the application of frontier multimodal search technologies in AI search business.
🛠️ Required Skills
- Image understanding
- Image quality assessment
- Video understanding
- Multimodal model training and tuning
- Search recall
- Search relevance
- Search ranking
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.
Skills Required
- Image understandingintermediate
- Image quality assessmentintermediate
- Video understandingintermediate
- Multimodal model training and tuningintermediate
- Search recallintermediate
- Search relevanceintermediate
- Search rankingintermediate
Responsibilities
- Participate in multimodal search algorithm development for AI search scenarios in Yuanbao, QQ Browser, etc., including text-to-image, image-to-image, text-to-video searches, and optimize to improve multimodal search performance.
- Work on text-image/image-image/text-video recall, relevance, ranking algorithm upgrades, and system optimization.
- Continuously explore the application of frontier multimodal search technologies in AI search business.
Tags & Categories
Answer 10 quick questions to check your fit for 多模态搜索算法工程师 @ Tencent.
Related Books and Jobs
多模态搜索算法工程师
Tencent
多模态搜索算法工程师
Job Description
多模态搜索算法工程师
📋 Job Overview
The Multimodal Search Algorithm Engineer role at Tencent involves developing and optimizing multimodal search algorithms for AI search scenarios in products like Yuanbao and QQ Browser, including text-to-image, image-to-image, and text-to-video searches. The position focuses on enhancing search effectiveness through technical improvements in recall, relevance, ranking, and system optimization. It also entails exploring and applying cutting-edge multimodal search technologies in AI search business applications.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
2.工作内容包含但不限于：文图/图图/文视频召回、相关性、排序算法升级、系统优化等；
3.涉及技术包含但不限于：图片理解、图片质量、视频理解、多模态模型训练和调优、搜索召回、搜索相关性、搜索排序等；
4.持续探索前沿多模态搜索技术在AI搜索业务中的落地应用。
🎯 Key Responsibilities
- Participate in multimodal search algorithm development for AI search scenarios in Yuanbao, QQ Browser, etc., including text-to-image, image-to-image, text-to-video searches, and optimize to improve multimodal search performance.
- Work on text-image/image-image/text-video recall, relevance, ranking algorithm upgrades, and system optimization.
- Continuously explore the application of frontier multimodal search technologies in AI search business.
🛠️ Required Skills
- Image understanding
- Image quality assessment
- Video understanding
- Multimodal model training and tuning
- Search recall
- Search relevance
- Search ranking
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.
Skills Required
- Image understandingintermediate
- Image quality assessmentintermediate
- Video understandingintermediate
- Multimodal model training and tuningintermediate
- Search recallintermediate
- Search relevanceintermediate
- Search rankingintermediate
Responsibilities
- Participate in multimodal search algorithm development for AI search scenarios in Yuanbao, QQ Browser, etc., including text-to-image, image-to-image, text-to-video searches, and optimize to improve multimodal search performance.
- Work on text-image/image-image/text-video recall, relevance, ranking algorithm upgrades, and system optimization.
- Continuously explore the application of frontier multimodal search technologies in AI search business.
Tags & Categories
Answer 10 quick questions to check your fit for 多模态搜索算法工程师 @ Tencent.
Related Books and Jobs