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Open nowPosted 10 hours ago

算法与智能体开发实习生（上海）

nio/intern980 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now算法与智能体开发实习生（上海）nio/intern · Shanghai, Chinese Mainland

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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. nio/intern postings stay open a median of 3 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. 58.1%60 days
This job: posted 10 hours ago

nio/intern median: 3 days open

The posting

工作内容： 1. AI智能体开发： 参与质量领域（前期质量、制造过程质量、售后问题处理）AI智能体的研发，协助完成Prompt设计、工作流编排、工具调用集成及智能体功能开发，探索大语言模型在质量分析、异常识别、问题诊断等场景中的应用。 2. 深度学习算法开发： 参与制造过程与售后质量相关的机器学习及深度学习算法开发，包括数据清洗、特征工程、时序预测、异常检测及模型训练与优化等工作。 3. AI技术探索与验证： 跟踪大语言模型、AI Agent、深度学习等前沿技术，参与技术调研、开源项目研究及算法原型验证，探索新技术在实际业务场景中的应用价值。 4. 模型测试与评估： 协助构建AI智能体与算法模型的测试数据集，参与模型效果评估、性能优化及问题分析，持续提升模型与智能体的准确性、稳定性和实用性。 5. 业务场景应用与迭代： 配合团队理解质量业务需求，参与AI应用的原型开发、功能测试及持续迭代，协助解决实际业务场景中的技术问题。 6. 技术文档与成果总结： 参与技术方案、算法实验、模型评估及项目开发文档的编写，定期总结技术研究与项目实践成果。

职位要求 1. 教育背景： 计算机科学、人工智能、数学、数据科学、软件工程等相关专业在读本科生或研究生，具备良好的计算机基础和算法基础。 2. 编程能力： 熟悉Python编程，了解常用数据处理与机器学习工具，如NumPy、Pandas、Scikit-learn等，具备基本的软件开发和代码调试能力。 3. 深度学习基础： 了解机器学习与深度学习基本原理，熟悉CNN、LSTM、Transformer等常见网络架构，具备PyTorch或TensorFlow等框架的使用经验。 4. 大模型与智能体技术： 对大语言模型（LLM）和AI Agent技术有浓厚兴趣，了解Prompt Engineering、RAG、Tool Calling等基本概念；有LangChain、LangGraph、DeepAgents等框架实践经验者优先。 5. AI辅助开发能力： 乐于使用Cursor、Claude Code、Codex等AI Coding工具辅助代码开发、调试与测试，具备利用AI工具提高研发效率和自主解决问题的意识与能力。 6. 学习与沟通能力： 具备良好的逻辑思维、自主学习和团队协作能力，能够阅读英文技术文档，并主动探索新技术、分析问题和推动任务完成。

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