腾讯广告-大模型算法工程师-智能投放方向
Tencent
腾讯广告-大模型算法工程师-智能投放方向
Job Description
腾讯广告-大模型算法工程师-智能投放方向
📋 Job Overview
The role focuses on developing model-driven advertising Agent systems at Tencent Advertising to enhance intelligent ad delivery through task understanding, autonomous decision-making, and multi-round interactions. Responsibilities include researching large model applications in ad scenarios, building evaluation systems, and optimizing generation effects using advanced techniques like RAG and RLHF. The position also involves engineering deployment for high-performance inference and exploring innovative applications to push technical boundaries.
📍 Location: Shanghai, China
🏢 Business Unit: CDG
📄 Full Description
2.深入理解和解决大模型在广告Agent产品上的各种问题，并负责收集处理和生成能提升模型泛化能力的数据；
3.构建面向广告场景的大模型评测体系，推动模型持续迭代与优化；
4.结合RAG、Prompt工程、SFT、DPO/RLHF等技术提升广告生成效果；
5.推动大模型在广告系统中的工程化部署，实现高性能推理与服务上线；
6.研究在研发领域的创新应用场景，探索技术边界。
🎯 Key Responsibilities
- Deeply research model-driven advertising Agent systems, supporting task understanding, autonomous decision-making, and multi-round interactions to optimize intelligent ad delivery products and improve ad delivery effectiveness and efficiency.
- Deeply understand and solve various problems of large models in advertising Agent products, and be responsible for collecting, processing, and generating data that enhances model generalization capabilities.
- Build a large model evaluation system for advertising scenarios, promoting continuous iteration and optimization of models.
- Combine technologies such as RAG, Prompt engineering, SFT, DPO/RLHF to improve advertising generation effects.
- Promote the engineering deployment of large models in advertising systems, achieving high-performance inference and service launch.
- Research innovative application scenarios in the R&D field and explore technical boundaries.
🛠️ Required Skills
- Expertise in large language models (LLMs) and their applications in advertising
- Knowledge of RAG, Prompt engineering, SFT, DPO/RLHF techniques
- Experience in model evaluation systems and data collection/processing for AI generalization
- Skills in engineering deployment for high-performance AI inference
- Research abilities in innovative AI applications and technical exploration
Locations
- Shanghai, 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
- Expertise in large language models (LLMs) and their applications in advertisingintermediate
- Knowledge of RAG, Prompt engineering, SFT, DPO/RLHF techniquesintermediate
- Experience in model evaluation systems and data collection/processing for AI generalizationintermediate
- Skills in engineering deployment for high-performance AI inferenceintermediate
- Research abilities in innovative AI applications and technical explorationintermediate
Responsibilities
- Deeply research model-driven advertising Agent systems, supporting task understanding, autonomous decision-making, and multi-round interactions to optimize intelligent ad delivery products and improve ad delivery effectiveness and efficiency.
- Deeply understand and solve various problems of large models in advertising Agent products, and be responsible for collecting, processing, and generating data that enhances model generalization capabilities.
- Build a large model evaluation system for advertising scenarios, promoting continuous iteration and optimization of models.
- Combine technologies such as RAG, Prompt engineering, SFT, DPO/RLHF to improve advertising generation effects.
- Promote the engineering deployment of large models in advertising systems, achieving high-performance inference and service launch.
- Research innovative application scenarios in the R&D field and explore technical boundaries.
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯广告-大模型算法工程师-智能投放方向 @ Tencent.
Related Books and Jobs
腾讯广告-大模型算法工程师-智能投放方向
Tencent
腾讯广告-大模型算法工程师-智能投放方向
Job Description
腾讯广告-大模型算法工程师-智能投放方向
📋 Job Overview
The role focuses on developing model-driven advertising Agent systems at Tencent Advertising to enhance intelligent ad delivery through task understanding, autonomous decision-making, and multi-round interactions. Responsibilities include researching large model applications in ad scenarios, building evaluation systems, and optimizing generation effects using advanced techniques like RAG and RLHF. The position also involves engineering deployment for high-performance inference and exploring innovative applications to push technical boundaries.
📍 Location: Shanghai, China
🏢 Business Unit: CDG
📄 Full Description
2.深入理解和解决大模型在广告Agent产品上的各种问题，并负责收集处理和生成能提升模型泛化能力的数据；
3.构建面向广告场景的大模型评测体系，推动模型持续迭代与优化；
4.结合RAG、Prompt工程、SFT、DPO/RLHF等技术提升广告生成效果；
5.推动大模型在广告系统中的工程化部署，实现高性能推理与服务上线；
6.研究在研发领域的创新应用场景，探索技术边界。
🎯 Key Responsibilities
- Deeply research model-driven advertising Agent systems, supporting task understanding, autonomous decision-making, and multi-round interactions to optimize intelligent ad delivery products and improve ad delivery effectiveness and efficiency.
- Deeply understand and solve various problems of large models in advertising Agent products, and be responsible for collecting, processing, and generating data that enhances model generalization capabilities.
- Build a large model evaluation system for advertising scenarios, promoting continuous iteration and optimization of models.
- Combine technologies such as RAG, Prompt engineering, SFT, DPO/RLHF to improve advertising generation effects.
- Promote the engineering deployment of large models in advertising systems, achieving high-performance inference and service launch.
- Research innovative application scenarios in the R&D field and explore technical boundaries.
🛠️ Required Skills
- Expertise in large language models (LLMs) and their applications in advertising
- Knowledge of RAG, Prompt engineering, SFT, DPO/RLHF techniques
- Experience in model evaluation systems and data collection/processing for AI generalization
- Skills in engineering deployment for high-performance AI inference
- Research abilities in innovative AI applications and technical exploration
Locations
- Shanghai, 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
- Expertise in large language models (LLMs) and their applications in advertisingintermediate
- Knowledge of RAG, Prompt engineering, SFT, DPO/RLHF techniquesintermediate
- Experience in model evaluation systems and data collection/processing for AI generalizationintermediate
- Skills in engineering deployment for high-performance AI inferenceintermediate
- Research abilities in innovative AI applications and technical explorationintermediate
Responsibilities
- Deeply research model-driven advertising Agent systems, supporting task understanding, autonomous decision-making, and multi-round interactions to optimize intelligent ad delivery products and improve ad delivery effectiveness and efficiency.
- Deeply understand and solve various problems of large models in advertising Agent products, and be responsible for collecting, processing, and generating data that enhances model generalization capabilities.
- Build a large model evaluation system for advertising scenarios, promoting continuous iteration and optimization of models.
- Combine technologies such as RAG, Prompt engineering, SFT, DPO/RLHF to improve advertising generation effects.
- Promote the engineering deployment of large models in advertising systems, achieving high-performance inference and service launch.
- Research innovative application scenarios in the R&D field and explore technical boundaries.
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯广告-大模型算法工程师-智能投放方向 @ Tencent.
Related Books and Jobs