字节跳动资深风控算法工程师
社招全职5年以上A181494地点:北京状态:招聘
任职要求
1、5年以上风控算法经验,熟悉机器学习、深度学习、NLP、团伙挖掘等常用算法并有实际业务场景应用经验,理论基础扎实,对算法有强烈热情; 2、 熟悉Python/Java等语言,有较强的编码能力;熟悉 Hive、Spark等常见的数据处理工具和TensorFlow、Pytorch等深度学习工具; 3、有优秀的分析问题和解决问题的能力,对解决具有挑战性问题充满激情,具备较强的沟通能力、主动性能力和学习能力; 4、业务上审核风控相关、B端系统相关经验优先; 5、加分项:有图算法相关经验。
工作职责
1、负责广告客户的信用评估、额度评估、风控等策略; 2、对广告主的消耗进行短中长期的预测,提升预算分配准确性,帮助销售进行绩效管理; 3、对线上广告模型的实验进行离线仿真、提升仿真准确率,帮助提升实验效率、减少实验成本。
包括英文材料
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
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.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
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.
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.
相关职位
社招3年以上信息技术类
负责支付风控,推动包括fraud rate,chargeback rate等在内的核心风控指标持续优化。 1、开发并优化欺诈模型、支付可信分、用户画像等模型; 2、搭建各业务环节的机器学习模型,并负责模型部署应用、维护、监控和升级迭代; 3、推动用户行为序列、消费能力、欺诈特征挖掘,并对数据挖掘结果进行评估和校验; 4、负责建模流程优化,提升模型开发和部署效率,降低模型维护成本; 5、研究前沿机器学习算法在领域的实践和应用。
更新于 2025-04-16
社招1年以上技术
1. 深入理解滴滴海外业务模式、流程和系统架构,和产品技术、业务运营高效沟通,开发风控算法模块 2. 掌握数据驱动的方法论和技术栈,定量识别和防御业务风险,并平衡体验、增长等业务目标
更新于 2025-09-12

社招5年以上技术类
1. 负责电商风控相关反欺诈、薅羊毛等业务对应算法模型的需求对接、开发、落地与维护; 2. 负责风控机器学习算法的研发、评估和实施,包括前沿算法能力搭建与应用等; 3. 协助业务部门提升整体风控能力,降低业务场景整体风险; 4. 为相关风控业务提供数据挖掘及机器学习方面的模型服务支持。
更新于 2024-08-08