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Open nowPosted 3 days ago

AI后端(风控合规方向)实习生 - 国际支付

ByteDance19,257 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen nowAI后端(风控合规方向)实习生 - 国际支付ByteDance · Hangzhou, Zhejiang, Chinese Mainland
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 16 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 3 days ago

ByteDance median: 16 days open

The posting

团队介绍:国际支付,立足于为字节跳动国际化业务提供专业的支付和金融服务,专注于全球支付产品线的质量和效率,确保为国际产品提供高度可靠和稳定的服务,建立国际支付产品和能力,同时在高效助力业务快速拓展的同时,打造行业领先的支付和金融产品能力。团队当前所提供的产品和服务,遍布全球多个国家和地区,团队拥有丰富的国际化产品研发经验;同时这里有全球超大规模的支付网络;覆盖多业务场景的海外钱包及金融产品解决方案;围绕分布式一致性、高并发、高可用、资金安全在内的核心技术能力攻坚;LLM等前沿AI技术在支付&金融服务中的探索、研发和应用。另外,我们在全球设立团队,团队同学背景多元,不同的思维方式,打造了一个多元、碰撞、融合、包容的工作环境。我们邀请你来此成长、专研,发掘无限的潜力,一起应对技术和业务以及跨国合作上的挑战,还有跨文化交流机会在等你!

日常实习:面向全体在校生,为符合岗位要求的同学提供为期3个月及以上的项目实践机会。

1、负责国际支付风控的特征与数据体系建设:参与风控特征的设计、开发与维护,覆盖用户、设备、商户、交易等多维度特征,支撑风控模型的训练与实时决策,保障特征对业务的完整覆盖与可解释性; 2、负责风控数据链路的搭建与优化:建设实时/离线特征计算与存储体系(特征平台、特征仓库、样本库),保障特征数据的时效性、准确性与一致性,提升特征上线与模型迭代的效率; 3、结合LLM等前沿AI技术探索风控场景落地:参与智能特征挖掘、异常模式识别、风控策略生成等方向的研发,助力AI技术与风控业务深度融合; 4、参与风控数据质量保障与治理:建设特征监控、质量校验、样本回流与标注机制,沉淀数据规范与治理流程,支撑风控模型持续迭代与策略调优; 5、参与各专项技术调研与前瞻项目,重点关注LLM、智能风控、智能合规在支付&金融服务领域的应用探索与落地实践。

1、本科及以上学历在读,计算机、数学、统计等相关专业优先; 2、热爱计算机科学和互联网技术,精通至少一门编程语言,包括但不仅限于:Java、C、C++、PHP、Python、Go;熟悉SQL,掌握扎实的数据结构与算法、操作系统等计算机基础知识; 3、熟悉大数据处理组件(如Spark、Flink、Hive)或具备特征工程、数据挖掘项目经验者优先; 4、有优秀的逻辑分析能力,能够对业务逻辑进行合理的抽象和拆分,对数据敏感,能发现并定位数据问题; 5、有强烈的求知欲,优秀的学习和沟通能力;有LLM应用、Vibe coding、Agent开发经验或风控相关项目经验者加分。

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