希音高级/资深算法工程师(广告/投放策略)
社招全职信息技术类地点:深圳状态:招聘
包括英文材料
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/
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.
Scala+
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.
相关职位
社招信息技术类
1、负责海外广告外投的RTA算法建设、DPA动态选品,挖掘投放热词和优化站内落地页承接; 2、深入业务,基于业务理解来主导建模成本分配机制,持续迭代和改进; 3、预测用户LTV价值,配合运营策略对不同人群进行差异化投放; 4、跟踪同行广告领域的技术趋势,了解竞品产品和技术动态,能催化团队技术进步。
更新于 2025-04-03
社招3-5年网易云音乐
1、负责广告的CTR、CVR预估,进行相关的数据分析、特征工程、模型优化等工作; 2、负责广告投放过程中召回、排序、OCPX机制等模块的实现和完善; 3、改进与优化品牌广告的投放机制和策略,包括在线分配、预算平滑等; 4、从数据中发现机制和算法的不足,提出改进方案并推动实现,提升变现效率和广告收入; 5、跟踪算法领域的最新技术进展,探索前沿技术来最大化广告收入。
更新于 2025-08-19
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