阿里巴巴阿里妈妈-广告大模型算法工程师(预估方向)-北京*
社招全职1年以上地点:北京状态:招聘
任职要求
1、计算机、数学或统计学相关专业硕士及以上学历; 2、熟练掌握Java/C++/Python中至少一门语言,有扎实的数据结构和算法基础; 3、熟悉常用的机器学习算法; 4、具备优秀的分析和解决问题的能力,良好的沟通协作能力; 5、有大模型、数据挖掘、机器学习、强化学习、信息检索、自然语言理解、推荐系统、计算广告学及算法博…
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工作职责
1、探索生成式预估范式在搜索推荐场景的可行性与边界,系统分析生成式模型相较于传统判别式模型在表达能力、泛化性与训练效率上的优劣;设计可扩展的生成式架构,涵盖生成式训练范式、结构优化、以及基于强化学习的排序目标对齐方法,构建具备scale-up潜力的下一代预估模型体系。 2、研究大语言模型(LLM)在电商场景下的个性化CTR/CVR预估应用,探索模态对齐、用户行为链(CoT)建模等技术路径,将LLM的推理能力迁移至用户偏好理解与意图推断,实现更精准的人货匹配与动态兴趣建模。 3、主导大模型预估系统的基础设施建设,涵盖算力友好的算法设计、分布式训练加速、线上低延迟部署、端到端链路优化及计算复杂度控制,推动前沿模型技术在高并发、实时性要求严苛的工业场景中规模化落地。
包括英文材料
学历+
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
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/
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
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
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.
信息检索+
https://nlp.stanford.edu/IR-book/information-retrieval-book.html
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.
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社招技术类
1.迭代召回及相关性算法能力,深入理解用户意图、挖掘广告内容信息,提升广告匹配效率 2.优化点击率、转化率模型效果,利用丰富的内容和用户行为数据,并结合实际业务场景,提升模型预估准确度 3.优化广告策略算法建设,深入理解广告机制,在智能出价、拍卖机制等方向上迭代策略,提升广告主投放体验 4.跟踪学习相关领域前沿进展,探索新技术在实际业务场景中的落地
更新于 2025-03-31北京
社招3年以上技术类-算法
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更新于 2026-01-21杭州|北京
社招MEG
-参与计算广告深度学习和大模型LLM的训练框架、特征工程、模型优化等方面工作, -搭建全流程模型工程链路,并技术落地商业搜索、推荐等业务场景 -负责模型训练与特征工程领域相关技术方向的架构设计、技术方案的设计和难点攻关 -提升系统高吞吐、高并发、高稳定能力,保存团队和方向的技术先进性
更新于 2025-01-09北京|上海