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Open nowPosted 34 hours agoWe saw it 79 min after it went up

多模态算法实习生

poizon/referral559 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now多模态算法实习生poizon/referral · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on poizon/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. poizon/referral postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 34 hours ago

poizon/referral median: 11 days open

The posting

1、参与商品图文高质量治理核心环节，负责相关算法模块的研发与上线； 2、 参与搜索场景多模态向量召回的算法研发与优化； 3、配合 mentor 设计并执行多模态算法实验，输出可复现的实验结论； 4、独立承接小型算法模块需求，完成从方案设计到上线的全流程。

[必备] 1、计算机、人工智能或相关专业在读研究生（研二）； [加分] 2、有图文多模态相关项目、竞赛经历； 3、有发表多模态相关论文； [不考虑] 1、只会调用 API、不理解模型原理的候选人； 【岗位吸引力】 1、多模态算法是当前行业热门方向，对实习生后续求职和成长有直接价值；团队拥有海量垂域电商数据，可开展有深度的实验，实习产出具备实际业务落地背景，含金量高。 【能力】 （专业技能 / 协作能力 / 执行力 — 可学习可提升） [必备] 1、扎实的机器学习/深度学习基础，理解模型原理而非仅会调包； 2、具备独立跑实验的能力，能设计对照、分析结果、输出结论； 3、 基础编程能力，能完成算法模块的工程实现； [加分] 1、有图文多模态（如图文匹配、跨模态检索、多模态表示学习）相关项目或论文经历； 2、熟悉电商场景下商品理解或图像/文本特征提取、向量召回； [不考虑] 1、理论与工程严重脱节，只会套框架不能调试和改模型的； 【特质】 （底层性格 / 价值观 / 行为模式 — 相对稳定） [必备] 1、基础扎实、认真负责，对交付结果有责任心； 2、逻辑思维清晰，能把问题拆解成可执行的步骤； [加分] 1、主动性强，遇到问题不等 mentor 催，自驱推进；

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