小红书联盟广告算法工程师-商业算法
社招全职1-3年策略算法地点:北京 | 上海状态:招聘
任职要求
1. 背景:计算机、人工智能、自动控制、数学等相关专业,硕士及以上学历, 1年以上工作经验; 2. 核心技术:扎实的机器学习理论基础,熟悉PyTorch/TensorFlow等主流深度学习框架,熟悉 LLM、RAG、Agent 等相关算法和系统; 3. 业务能力:具备优秀的分析…
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工作职责
1. 负责小红书联盟广告核心算法的迭代与优化,持续提升各行业(电商、线索、内容消费等)的广告变现效率; 2. 针对联盟侧流量特性与人群差异,设计并优化流量定价模型、收益分成策略及人群匹配机制等,实现流量价值的精细化运营; 3. 深入联盟分发全链路,持续迭代 CTR/CVR/净胜率等预估模型及智能出价策略,提升广告投放效果与客户商业价值; 4. 探索并落地 AI Agent 与LLM在联盟广告的应用,重构用户意图理解、需求匹配与价值预估能力,构建联盟生态下的智能投放体系。
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.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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.
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/
还有更多 •••