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Open nowPosted 921 days ago

AI Agent 算法工程师

jm196x6sv7/index16 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen nowAI Agent 算法工程师jm196x6sv7/index · 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/index'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.

12.1% 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. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 921 days ago

The posting

1. 研究并实现 Agent 的任务规划、记忆、检索、工具选择与多步决策算法。 2. 构建训练、评测与错误分析数据闭环，定位失败模式并提出可复现实验假设。 3. 结合监督学习、强化学习、排序或生成式方法提升复杂任务的成功率与泛化能力。 4. 与应用工程团队协作，将算法原型转化为可监控、可回归的生产能力。

1. 计算机、人工智能、统计、数学等相关专业，或具备可验证的同等算法能力；接受校招及 0–5 年经验候选人。 2. 熟练使用 Python，具备扎实的机器学习、深度学习知识与实践经验，能独立完成数据处理、模型训练、实验设计、评测和结果分析。 3. 理解至少一类序列建模、检索排序、强化学习或生成模型方法，并能说明适用边界。 4. 具备数据敏感度和严谨评测意识，能避免只看单一指标或少量案例。 5. 能阅读英文技术资料，并清晰记录实验假设、结果和决策依据。

加分项 - 有广告、推荐或搜索建模经验，熟悉点击率/转化率预估、排序、召回、用户与内容建模等问题，并能展示可验证的线上效果。 - 有 LLM 建模经验，包括预训练、监督微调、对齐、蒸馏或评测数据构建中的一项或多项。 - 有 LLM 部署与推理加速经验，熟悉量化、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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