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Open nowPosted 269 days ago

AI Agent 算法实习生

jm196x6sv7/0294036 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen nowAI Agent 算法实习生jm196x6sv7/029403 · Hangzhou, Zhejiang, 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 jm196x6sv7/029403's own form.

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3×more interviews than doing it yourself with ChatGPT.

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.

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 269 days ago

The posting

1. 参与任务规划、长期与短期记忆、检索排序、工具选择或多步决策模块的研究与实现。 2. 清洗和构建训练及评测数据，维护实验基线并对失败样本进行系统分类。 3. 复现并改进机器学习、深度学习或强化学习方法，以对照实验验证真实增益。 4. 与算法和应用工程师协作，将有效方案接入测试链路并记录复现条件。

1. 计算机、人工智能、统计、数学等相关专业在校生，具备扎实的概率统计、机器学习与算法基础。 2. 熟练使用 Python，具备机器学习、深度学习项目或科研实践经验，能使用至少一种深度学习框架完成数据处理、模型训练、推理和结果分析。 3. 理解实验设计、训练验证划分和常用评测指标，重视结论的可复现性。 4. 有较强的论文阅读、代码实现和问题拆解能力，能清晰解释方法选择。 5. 可保证稳定实习投入，具体周期与到岗安排在面试阶段确认。 加分项 - 有广告、推荐或搜索建模的项目、竞赛或科研经验，接触过点击率/转化率预估、排序、召回或用户与内容建模。 - 有 LLM 建模实践，包括监督微调、对齐、蒸馏、评测或训练数据构建中的一项或多项。 - 有 LLM 部署或推理加速实践，接触过量化、并行推理、KV Cache、服务化或 GPU 性能优化中的一项或多项。

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