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Open nowPosted 275 days ago

算法实习生-Ads Core

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now算法实习生-Ads CoreByteDance · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.3% 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. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%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:广告核心团队在不同的广告投放阶段建立关键的变现机制 1. 我们建立排序、出价、预算、样式、诊断和其他框架,作为中台,使其他广告团队能够并行迭代他们的产品。 2. 我们实施流量策略,在用户体验的约束下实现收入最大化,实现广告主受众的完全探索。 3. 我们的模型驱动自动化解决方案从头到尾优化广告投放性能。

1、基于前沿技术,包括机器学习/深度学习、强化学习、LLM以及ScalingUp,在复杂的商业化场景中引领全球先进广告投放系统/模型的研发; 2、优化整个广告漏斗的效率,涵盖召回与粗排、精排(点击率/转化率)、素材生态、样式/创意个性化以及系统资源分配; 3、建立和完善系统框架与标准,提升效率&长期价值,同时满足不同垂直业务的多样化需求; 4、与全球市场的产品和业务团队合作,最大化影响力以及追求TikTok全球广告收入的持续提升。

1、2027届硕士及以上学位在读,计算机科学、统计学、运筹学、应用数学、物理学专业优先; 2、拥有以下一个或多个领域的实践经验:机器学习、深度学习、统计模型和应用数学方法; 3、扎实的编程技能,精通C/C++和Python;熟悉基本的数据结构和算法; 4、熟悉大数据系统,包括Hadoop和Spark; 5、熟悉至少一种主流机器学习编程框架(TensorFlow/PyTorch/MXNet)的架构和实现; 6、对新技术有好奇心和创业精神。

加分项: 1、在自然语言处理/计算机视觉/推荐系统领域有论文发表(例如,在RecSys、KDD、ICML、NeurIPs、CVPR等会议的论文列表、研讨会、口头报告等); 2、具备大语言模型(LLM)相关实践经验者优先。

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