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ClosedPosted 88 days ago

智能验证与AI安全算法工程师 - 风控

ByteDance19,207 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland

This posting closed on 2026-10-23. 19,207 other ByteDance postings are live.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 88 days ago

ByteDance median: 2 days open

The posting

团队介绍：风控团队由算法、工程、产品三大团队协同构成，为抖音、今日头条、豆包、剪映等字节跳动业务的内容、交易、流量、账号场景提供智能风控，服务十亿级用户；场景对抗性极强、推理链路长、多模态数据海量，是 AI 时代最有挑战的实战领域之一。算法团队推进 LLM/MLLM 与 Agentic AI 的工业化落地，构建下一代智能风控基建；工程团队依托高并发、大数据与大模型，搭建端云一体的多层对抗体系与情报预警；产品团队评估业务风险、制定策略、探索 AI 在风控中的边界。三线协同，打造高效、前瞻的智能风控防线。

1、负责建设面向大规模互联网业务的新一代智能验证系统，通过活体验证、图形验证和无感验证，在安全风险、用户体验与业务效率之间取得最优平衡； 2、负责跟进智能Agent技术发展，推动验证能力从识别传统自动化脚本升级为区分真实用户与智能体的关键基础能力，探索利用AIGC检测、生成模型、多模态学习、序列建模等技术构建“用AI应对AI”的人机识别体系，参与定义Agent时代的人机识别能力并推动前沿AI技术落地； 3、负责探索Agentic Workflow研发模式，推动Agent参与数据分析、样本挖掘、实验设计、模型训练、效果评估和线上问题诊断全流程，构建从风险发现到模型迭代的智能化闭环，探索AI原生的算法生产范式。

1、计算机、人工智能、模式识别、信息安全、数学或相关专业，本科及以上学历； 2、具备扎实的机器学习、深度学习基础，熟悉使用PyTorch； 3、在以下一个或多个方向具备实际经验： 1）人脸识别、活体检测或Deepfake/AIGC内容检测； 2）计算机视觉、多模态学习或视觉基础模型； 3）用户行为建模、序列建模、异常检测； 4）对抗学习、生成模型或困难样本生成； 5）风控、反欺诈、反作弊、验证码或账号安全； 4、熟悉模型训练、评估、部署及线上迭代流程，具备较强的数据分析和工程落地能力； 5、对真实世界的安全攻防问题有兴趣，能够从攻击行为、数据表现和模型能力等多个视角分析问题； 6、具备良好的沟通协作能力、自驱力和问题拆解能力，能够推动算法从想法走向生产。

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