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Open nowPosted 275 days ago

图大模型算法实习生-商业信任与安全

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now图大模型算法实习生-商业信任与安全ByteDance · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 275 days ago

ByteDance median: 23 days open

The posting

ByteIntern:面向2027届毕业生(2026年9月-2027年8月期间毕业),为符合岗位要求的同学提供转正机会。 团队介绍:商业化信任与安全研发团队致力于构建业界领先的智能审核系统,通过前沿 AI 技术保障商业内容安全与合规,提升用户客户的信任。团队通过研发大模型基座、先进的审核大模型和审核系统,持续提升大模型系统对复杂商业化内容的理解、让准确理解遵循安全规则、基于规则深度推理并拉齐人与机器之间的认知,并能感知发现潜在问题,并用Agent高效处理审核问题、自动迭代审核系统,为商业内容安全提供全链路、智能化的技术支撑。

1、探索图算法与大模型的结合方案,完成在风控和黑产对抗上的业务落地; 2、负责图相关模型的构建,利用分类、回归、预测、聚类等技术手段解决风控安全问题,构建风险识别策略体系; 3、负责图计算领域前沿技术追踪(尤其是不同子任务与大模型的结合)。

1、2027届硕士及以上学位在读,计算机相关专业; 2、图计算、图神经网络、图大模型结合方向优先,有风控或安全反作弊相关工作经验优先; 3、熟悉图论和图计算原理,熟悉以图为基础的机器学习/深度学习算法,在图表征学习某个领域有较深入的研究,包括但不限于:节点分类、关系预测、聚类/社区检测以及图分类回归、有无监督学习等; 4、熟悉Gremlin等图查询语言以及NetworkX、GraphX相关的至少一种分布式图计算框架; 5、具备优秀的编码能力,扎实的数据结构和算法基础,熟悉掌握Python/C++; 6、熟悉大模型训练、强化学习(RL)、大规模数据挖掘、图挖掘等相关技术优先。

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