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Open nowPosted 379 days ago

大模型算法工程师（Memory/RAG/意图识别）

leiniao-ibg/index115 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now大模型算法工程师（Memory/RAG/意图识别）leiniao-ibg/index · Shenzhen, Guangdong, Chinese Mainland

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. leiniao-ibg/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 379 days ago

leiniao-ibg/index median: 1 days open

The posting

1. 场景化算法研发：针对智能眼镜使用场景，研究和开发适配的长期记忆算法，基于用户行为和使用习惯，设计个性化的信息存储、检索策略，提升用户交互体验。 2. 用户体验优化：结合智能眼镜的交互特点，分析用户在使用过程中与长期记忆功能相关的痛点，通过算法改进和交互设计优化，提高历史信息调用的便捷性与准确性，增强用户满意度。 3. 数据驱动设计：构建适用于智能眼镜场景的长期记忆数据集，收集、清洗和标注用户在实际使用中的行为数据，挖掘数据特征，为算法训练和功能迭代提供数据支持。 4. 技术落地与协作：与硬件、产品团队协作，推动长期记忆技术在智能眼镜产品中的落地应用；跟踪行业前沿技术，将新技术、新方法融入到智能眼镜长期记忆功能的优化中，并输出技术文档。

1. 学历背景：计算机科学与技术、电子信息、人工智能等相关专业，硕士及以上学历；博士学历或有相关领域突出成果者优先。 2. 技术能力：精通 Python 编程，熟练使用 PyTorch 等深度学习框架；熟悉自然语言处理、计算机视、等技术，具备在智能硬件场景中应用算法的经验。 3. 项目经验：有大模型开发经验，熟悉 a-mem、mem0 等长期记忆项目，具备 RAG 技术或者推荐算法技术等实践经历；拥有智能眼镜、AR/VR、智能手机等智能硬件产品的算法开发或功能优化经验者优先。 4. 综合素养：具备优秀的学习创新能力，能够快速掌握智能眼镜领域的新技术；良好的沟通协作能力，能与跨部门团队高效合作；擅长英文文献阅读，可及时跟踪国际前沿技术动态。 5. 附加优势：熟悉智能硬件的交互设计原则，了解物联网技术，有传感器数据处理经验者优先。

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