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Open nowPosted 1150 days ago

多模态算法实习生-电商业务

ByteDance19,260 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now多模态算法实习生-电商业务ByteDance · Shanghai, Chinese Mainland

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  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on ByteDance's own form.

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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 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 1150 days ago

ByteDance median: 27 days open

The posting

日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。 团队介绍：Data-电商团队，负责电商创新项目的算法和大数据工作。依托于字节跳动产品，帮助用户发现并获得好物，享受美好生活。在这个团队，我们不仅要通过推荐和搜索算法帮助用户买到感兴趣的好东西，也要通过风控算法和智能平台治理算法去甄别违规行为，保护用户的购物体验；我们还要建设智能客服技术、大规模商品知识图谱来提升各个交易环节的效率；我们也要结合机器学习和运筹算法，来优化供应链和物流的效率和成本，并进一步提升用户体验；另外我们还会用人工智能来帮助商家提升经营能力。我们的使命：没有难卖的优价好物，让美好生活触手可得。

1、参与电商场景下文本、多模态相关模型能力建设，包括但不限于：基于LLAMA/LLaVA等模型的多模态、关键信息抽取、实体识别、文本分类、知识图谱构建等； 2、参与构建业内领先的内容安全、内容生态识别方法，探索前沿技术（如NLP前沿、多模态前沿的训练和运用相关），并应用落地到电商业务场景中； 3、参与分析模型落地对电商生态的正面影响。

1、本科及以上学历在读，计算机等相关专业优先； 2、熟悉常用的机器学习和深度学习算法，熟悉基本的网络模型结构（DNN/LSTM/CNN/Transformer等）、生成式模型（LLAMA/GLM/GPT/BERT/BLOOM等）、PEFT技巧；熟悉常见多模态模型，并有一定实践经验； 3、具备较强的编码能力，熟悉Python，熟悉PyTorch/Tensorflow等至少一种主流深度学习框架； 4、具备优秀的学习能力和良好的沟通合作精神； 5、加分项：在自然语言处理、机器学习领域（SIGIR、ACL，EMNLP、AAAI等）有论文发表；国际知名竞赛获得前三名次。

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