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Open nowPosted 10 days ago

对话记忆算法工程师JD

soulapp/index58 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now对话记忆算法工程师JDsoulapp/index · 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 soulapp/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.

11.5% 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. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 10 days ago

The posting

1. 负责Personal AI智能体记忆系统核心基建研发，搭建统一的长期记忆、任务记忆、会话记忆系统，提升智能体表现力 2. 研究并落地记忆全链路核心技术，包括记忆抽取、摘要压缩、记忆冲突消解、动态更新与遗忘机制，优化记忆检索、召回与排序能力，支撑个性化对话。 3. 跟进Agent记忆、上下文工程、对话强化学习前沿，结合业务痛点完成技术预研、落地与迭代，持续优化AI长期陪伴效果。 4. 沉淀记忆与训练评测体系，迭代数据闭环，解决对话记忆丢失、人设混乱等核心问题。

1. 全日制硕士及以上学历，2年及以上相关工作经验，计算机、人工智能、NLP、机器学习等相关专业，扎实的深度学习、大模型、强化学习基础。 2. 熟悉大模型长期记忆、记忆抽取、向量检索、RAG、上下文工程相关技术，有对话记忆系统研发落地经验优先。 3. 熟悉大模型对话系统、Agent架构，掌握RLHF、GRPO等对话对齐算法，有对话强化学习落地经验优先。 4. 具备良好的算法迭代、数据分析与问题复盘能力，能够独立完成算法设计、实验落地与效果优化。 5. 熟练掌握PyTorch等训练框架，熟悉大模型后训练、数据处理、推理部署流程，具备工程落地意识。 6. 扎实分布式系统、数据库、检索系统经验，强系统设计与工程落地能力。 7. 熟练 Go/Java/Python/C++ 至少一门。 加分项：有AI陪伴、虚拟人对话项目经验；有大规模记忆中台、向量检索系统、Agent记忆系统落地经验；有相关顶会论文/开源项目经验。

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