腾讯火龙漫剧推荐算法工程师
社招全职3年以上腾讯视频技术地点:北京状态:招聘
任职要求
1.具备三年以上的推荐系统、广告系统或搜索引擎的算法研发经验,有推荐业务经验者优先; 2.扎实的算法功底,熟悉LLM、NLP、CV、大模型领域相关技术,有过大模型推荐相关经验者优先,有过超大规模机器学习模型(如DNN、DeepFM、GNN等)改进推荐效果,且有设计迁移学习、多任务学习、强化学习等实战经验者优先; 3.熟悉业界主流框架…
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工作职责
1.负责火龙漫剧/视频业务的推荐与搜索技术研发(包含但不限于传统搜推、LLM4Rec、AI搜索、生成式推荐等),提升用户体验,用户消费与时长,用户转化与留存等核心业务指标; 2.根据场景特点和产品定位,对全链路算法体系进行深度理解与优化,持续优化推荐/推荐算法; 3.结合大模型技术,升级推荐技术,提升推荐效果,解决实际业务问题; 4.紧跟学术界、工业界的前沿技术,结合实际的业务场景进行算法开发、落地,实现团队技术和业务的共同发展。
包括英文材料
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.
广告系统+
https://github.com/InteractiveAdvertisingBureau/openrtb2.x
Real-time Bidding (RTB) is a way transacting media that allows an individual ad impression to be put up for bid in real-time.
https://people.eecs.berkeley.edu/~jfc/DataMining/SP12/lecs/lec12.pdf
https://wnzhang.net/teaching/ee448/slides/11-computational-ads.pdf
If a bidder bids higher than his true value, then...
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/
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
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.
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.
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
还有更多 •••
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