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Open nowPosted 226 days ago

大模型算法实习生-TikTok Shop

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now大模型算法实习生-TikTok ShopByteDance · Shanghai, Chinese Mainland

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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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 226 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：TikTok Shop 是 TikTok 旗下的内容电商。平台汇聚全球优质商家与创作者，通过短视频、直播等多场景连接消费者，让新奇好物畅销全球，让美好生活触手可得。目前团队分布在美国、英国、法国、印尼、墨西哥、中国等全球多个国家和地区，在这里你将有机会深入国际场景，面向全世界商家及用户，和跨区域团队协作，共同探索创新购物模式。期待和优秀的你一起创造更多可能！

1、大模型算法研发：构建电商领域的大模型LLM底座，融合电商的知识，快速落地电商业务，例如：沉淀电商大模型预训练链路，研发电商NLP大模型，或者研发电商图文或者视频多模态大模型； 2、基础算法研发：持续建设和深耕NLP/CV/多模态基础预训练算法（BERT类算法），例如：沉淀&优化电商场景的预训练模型，包括超长文本/口语文本预训练，电商图片/视频自监督，适配电商商品的多模态表征学习等； 3、梳理&沉淀算法库，抽象算法接口，最大化提高算法/预训练模型的复用率，同时优化数据采集&模型训练&部署&推理的流程，提升研发效率； 4、技术输出：定期分享SOTA模型，赋能电商甚至公司级别的业务BU，沉淀专利和论文。

1、2027届本科及以上学历在读，计算机等相关专业优先； 2、扎实的机器技术基础，了解前沿的AI技术，发表过高水平学术会议论文或者有竞赛经验者优先； 3、熟悉大数据相关框架和应用MR/Spark等优先； 4、熟悉TensorFlow/PyTorch模型的训练和部署，了解混合精度训练、分布式训练等训练加速方法优先； 5、了解模型压缩&推理加速的研究和技术进展，包括但不限于模型量化、剪枝、蒸馏、TensorRT推理优化等； 6、熟悉以下任一方向的技术： 1）CV&多模态：在多媒体和计算机视觉某个领域有较深入的研究，包括但不限于：图像搜索、图像/视频分类和识别、图像分割、目标检测、OCR、图神经网络、多模态、无监督和自监督学习等；有CV/多模态大模型相关项目经验优先，研发&优化电商视频&商品多模态大模型，结合LLM和视频/商品表征，支持视频多模态分类，视频QA，跨模态检索，商品分类等任务，显著超越线上模型；有较强的实践能力，在Kaggle，COCO，ImageNet，ActivityNet，ICPC等比赛获奖者优先；熟悉前沿工作，有顶级学术会议（如CVPR、ICCV、ECCV等）发表论文者优先； 2）自然语言处理（NLP）：NLP方向上有较深入的研究，包括但不限于：预训练技术，自然语言理解，多语言&跨语言学习，自然语言生成，迁移学习，半监督学习等；有LLM大模型相关项目经验优先；研发NLP大模型，以统一电商场景的NLP任务，落地电商业务场景；有较强的实践能力，在Kaggle，GLUE，Super GLUE，CLUE等比赛获奖者优先；熟悉前沿工作，有顶级学术会议（如ACL、EMNLP等）发表论文者优先。

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