京东面向零售全场景的Agent研究与落地
校招全职多模态大模型与应用方向地点:北京状态:招聘
任职要求
1. 获得本科及以上学历,计算机科学、人工智能等相关专业; 2. 具备扎实的机器学习基础,在LLM、Agent、强化学习(RL)或后训练等方向有深厚的技术积累; 3. 具备优秀的工程架构能力与品味,能端到端构建可靠、高效的系统与实验流水线; 4. 具备极强的数据敏锐…
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工作职责
1. 负责零售生态复杂任务的Agent编排系统、Agent harness及相关工具的设计与迭代; 2. 构建Agent自动化评估体系(Evals),精准衡量长程可靠性、回归指标及边缘失败模式; 3. 搭建数据闭环回路,将用户交互、人工反馈与合成数据转化为高质量的训练集; 4. 开展购物、本地生活等多场景下的大模型后训练(SFT/RL)及智能体行为深度分析; 5. 提炼核心场景痛点,攻坚关键算法研究,并通过高水平学术论文或技术博客发表成果; 6. 协同产品团队定义Agent端到端任务标准,持续优化面向用户的智能体交互体验。
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.
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
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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