字节跳动推荐算法高级工程师 - 国际化直播
社招全职3年以上Y3UP地点:北京状态:招聘
包括英文材料
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.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
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
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
相关职位
社招J2TCP
1、参与千万-亿级规模的电商个性化推荐算法的优化,主要包括国际化电商直播推荐、电商短视频推荐、新用户推荐、直播/视频冷启动、长期价值建模、体验优化等工作; 2、通过表征学习、深度学习、迁移学习、多任务学习等技术提升信息匹配的效率,让每个用户可以便捷的找到好的主播和优质的货品; 3、挖掘和分析海量用户行为数据,进行用户长短期兴趣建模,以及潜在兴趣预测、探索,提升推荐的精准性和发现性; 4、通过算法自动挖掘优质、专业、高口碑的商品和主播,构建良性的循环机制,优化内容电商生态; 5、结合内容电商的业务特性,进行模型和算法创新,打造业界领先的推荐算法和系统。
更新于 2021-07-09
社招A91506
1、负责国际化短视频生活服务推荐算法,共同搭建业界领先的推荐系统; 2、深刻理解短视频/直播/地理位置/商品等推荐相关的机器学习/深度学习算法,优化模型/策略,持续提升推荐效果; 3、深入理解生活服务业务,从到店、外卖、酒旅等业务特性中挖掘算法亮点; 4、深入理解用户行为,结合数据挖掘等技术,优化用户创作和浏览等体验。
更新于 2023-12-15
社招3年以上EMR2
1、支持互娱研发业务(包括并不限于抖音、直播、剪映、醒图等),结合推荐算法,提升产品转化效率,改善用户体验,探索更高效的体验模式,提升业务生态健康程度等; 2、参与优化模型和算法服务的计算性能,支撑高QPS的分布式算法应用; 3、参与亿级规模的短视频APP和直播的道具/特效/美颜/模板的个性化推荐算法的优化; 4、独立负责业务中的一个模块,与产品、工程研发团队深度合作,理解业务发展,制定推荐策略的目标; 5、调研业内领先的AI技术解决方案,结合实际应用场景进行创新应用试验和业务落地。
更新于 2021-08-27