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Open nowPosted 283 days ago

CDN流量预测算法实习生-音视频技术

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowCDN流量预测算法实习生-音视频技术ByteDance · Beijing, 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. 4.2%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 283 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：视频与边缘部门承载了字节跳动的媒体内容分发基建及技术中台，支持了字节全系产品，如抖音、今日头条、番茄小说、西瓜视频等APP的点播、直播、实时通信、图片等多媒体业务发展，同时将业务发展过程中沉淀下来的技术能力和工具，通过火山引擎对外输出，面向各行各业用户提供视频云产品和服务，愿景是为内外部业务伙伴提供最低成本、最优画质、最低延时、最安全可靠的富媒体内容分发解决方案，助力业务伙伴降本提效实现持续增长。

1、负责构建和优化CDN边缘带宽的流量预测模型，涵盖天/月/季度预测任务，提升预测准确率与稳定性，支撑CDN节点调度、带宽资源规划等业务决策； 2、调研并引入前沿时序预测算法，结合传统统计学习方法，进行模型选型、训练、调优及迭代升级； 3、负责预测模型的工程化落地，与研发团队协作完成模型部署、监控、运维及效果复盘，解决实际业务中的流量预测相关问题； 4、沉淀流量预测算法方法论与最佳实践，输出技术文档、模型说明文档，推动团队技术能力提升。

1、2027届本科及以上学历在读，计算机科学、软件工程或相关专业优先； 2、精通至少一种编程语言（Python/Golang/Java/Scala），熟练使用机器学习/深度学习框架； 3、深入理解时序预测相关算法原理（如ARIMA、SARIMA、LSTM、Transformer、Prophet等），具备独立设计、开发、优化时序预测模型的能力； 4、具备良好的逻辑思维能力、问题解决能力，能够快速定位并解决模型训练、落地过程中的技术问题； 5、有CDN流量预测、网络边缘节点流量调度、带宽资源规划相关项目经验者优先； 6、具备良好的沟通协作能力、团队合作精神，有较强的学习能力和技术钻研精神。

加分项： 1、有大规模时序数据处理、模型并行训练经验者； 2、在Kaggle等算法竞赛中获得过优异成绩，或有相关学术论文发表者。

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