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JD.com · 北京市-北京市

# 多模态风控大模型对抗与鲁棒性研究

北京市-北京市 Internship or early career 

Listed on JD.com’s official careers site. Posted July 20, 2026. Check that it is still open and apply there.
[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=9010)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 多模态风控大模型对抗与鲁棒性研究

## Job description

工作职责
- 探索多模态大模型在电商风控场景的前沿应用，大幅提升复杂风险识别的准确率与风险抓取的召回率。
- 优化风控模型架构与推理链路，保障千万级日活场景下风险识别的高效时效性。
- 研究模型抗逆境与对抗技术，增强风控系统对抗各类黑灰产攻击的鲁棒性。
- 推动前沿算法在真实风控业务流水线中的工程化落地与持续迭代。 任职要求
- 计算机、人工智能或信息安全等相关领域的本硕博在校生。
- 具备扎实的机器学习功底，精通多模态大模型（如QWENVL、CLIP、GPT-4V等）的核心原理与底层机制。
- 具备极强的工程实现能力，熟练掌握PyTorch或TensorFlow，拥有大规模分布式训练实战经验。
- 具备敏锐的风险嗅觉与业务攻防对抗意识。
- 在NLP/CV领域顶级会议（如ACL、CVPR等）有学术论文发表经历，或具备工业级风控算法落地经验者优先。

## At a glance
- Posted by the employer: Jul 20, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 91 days
- Location: 北京市-北京市
- Employment type: Internship or early career[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=9010)

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