希音资深算法工程师/专家(广告投放)-南京上海深圳
社招全职5年以上信息技术类地点:上海 | 南京 | 深圳状态:招聘
工作描述
任职要求 1、计算机、数学、统计、人工智能等相关专业本科及以上学历,5 年以上机器学习/推荐/搜索/广告算法经验。 2、熟悉计算广告核心链路,理解广告召回、排序、预估、竞价、出价、预算控制、转化归因和 A/B 实验。 3、熟悉 CTR/CVR/DeepCVR/LTV/ROI 等建模方法,了解样本偏差、延迟反馈、模型校准、多目标学习等常见问题。 4、具备扎实的机器学习和深度学习基础,熟悉 LR、GBDT、DNN、Wide & Deep、DeepFM、DIN、MMoE、PLE、Transformer 等…
登录查看完整工作描述
微信扫码,1秒登录
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/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
GBDT+
https://developers.google.com/machine-learning/decision-forests/intro-to-gbdt
Like bagging and boosting, gradient boosting is a methodology applied on top of another machine learning algorithm.
https://scikit-learn.org/stable/modules/ensemble.html
Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator.
深度神经网络+
https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Learn the basics of neural networks and backpropagation, one of the most important algorithms for the modern world.
DeepFM+
https://d2l.ai/chapter_recommender-systems/deepfm.html
DeepFM consists of an FM component and a deep component which are integrated in a parallel structure.
https://deeprs-tutorial.github.io/WWW_DNN.pdf
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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.
还有更多 •••
相关职位
社招3年以上信息技术类
1、必须具备: -3年及以上算法、机器学习、数据挖掘相关工作经验;有电商、零售、交易平台、供应链或定价策略相关经验优先。 -有价格弹性建模、促销响应建模、活动增量评估、动态定价、需求建模中的实际项目经
更新于 2026-06-27上海|南京|深圳
社招信息技术类
1、本科及以上学历,计算机科学、数据科学、数学、统计学、人工智能等相关专业。 2、精通数据分析、统计建模,熟悉常用机器学习算法(如逻辑回归、决策树、XGBoost、LightGBM、神经网络等)。 3
更新于 2026-07-01南京

社招3年以上技术类
1. 计算机、数学等相关专业,硕士以上学历,3年以上互联网企业风控算法实践经验,对互联网电商业务有深入了解。 2. 业务理解能力突出,能够从业务视角理解风险,尤其擅长从海量业务数据中发现问题,并定义出
更新于 2026-07-02上海