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Open nowPosted 59 days ago

推荐算法实习生（）

poizon/index568 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now推荐算法实习生（）poizon/index · 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 poizon/index's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. poizon/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 59 days ago

poizon/index median: 1 days open

The posting

团队介绍 我们隶属得物电商推荐团队，致力于通过最前沿的算法技术，为数亿潮流消费者打造极致的个性化商品发现体验。在这里，你的工作将直接驱动主站核心电商业务，服务于海量用户与商品，挑战业界顶尖的技术难题。 职位描述 作为团队的一员，你将深度参与主站电商推荐场景的算法优化与创新工作，具体职责包括： 精排/召回/重排等模型核心优化：参与个性化精排模型的迭代与优化，运用深度学习技术提升推荐结果的准确性与用户体验。 大模型在推荐的应用探索：重点探索大语言模型（LLM）在精排场景下的创新应用，例如： 利用LLM进行深层次用户意图理解与兴趣建模。 探索LLM在特征工程、组合特征生成等方面的应用。 研究和实验基于大模型能力的新型精排模型架构。

基本要求： 2028届毕业生（2025年9月入学）。 专业方向：计算机科学、软件工程、通信工程、数学、统计学等相关专业。 实习时间：可保证连续实习六个月及以上，且每周全职工作五天。 能力要求： 具备扎实的算法与数据结构基础，优秀的编程能力（Python/Java/C++）。 熟悉主流深度学习框架（如TensorFlow/PyTorch），对推荐系统或自然语言处理有浓厚兴趣。 具备出色的学习能力、逻辑思维能力和技术热情，能主动探索并解决复杂问题。 良好的沟通能力和团队协作精神。 你将收获 深度业务影响：直接参与亿级用户体量的核心电商推荐业务，获得宝贵的工业级项目经验。 前沿技术实践：零距离接触大模型与推荐系统结合的最前沿技术探索，走在行业创新的第一线。 全方位成长支持：配备资深算法专家进行一对一指导，获得从技术方案到工程落地的完整训练。 有竞争力的回报：提供行业内具有竞争力的实习津贴及其他福利。 未来机会：表现优异者将获得全职工作的优先录用机会。

我们期待对技术和创新充满热情的您加入我们，共同定义下一代智能推荐！

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