小红书广告算法Agent方向
社招全职3-5年策略算法地点:北京 | 上海状态:招聘
任职要求
1.硕士及以上学历,计算机/机器学习/人工智能相关专业,算法基础扎实; 2.熟悉广告推荐系统,深入理解召回/排序机制,有 CTR/CVR 模型优化实战经验; 3.了解并实践过 LLM Agent(意图理解、Tool Use、ReAct、多步规划等),能结合 C 端业务场景落地; 4.有用户意图建模、多模态表征…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
C 端广告 Agent 构建:面向用户侧设计 LLM Agent 方案,整合意图识别、定向匹配、素材优化等模块,实现广告投放决策的智能化与自动化闭环; 1.用户意图理解:结合 VLLM / MLLM,深度建模用户行为序列与多模态内容信号,落地实时意图识别能力,精准捕捉用户的即时需求与潜在商业意图; 2.智能定向匹配:构建语义驱动的广告定向体系,打通用户兴趣表征与广告内容语义的隐式关联,提升广告与用户的匹配精度; 3.素材智能优化:基于用户画像与场景上下文,利用生成式模型实现广告素材的个性化筛选与动态优化,提升素材与用户的相关性及点击转化; 4.BC 联动全链路建模:构建品牌与效果广告的联合优化体系,打通从内容曝光到转化的全漏斗链路,提升品效一体整体 ROI。
包括英文材料
学历+
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
还有更多 •••