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Open nowPosted 71 days ago

校招-算法研发工程师

nio/campus870 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-算法研发工程师nio/campus · Shanghai, Chinese Mainland

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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 71 days ago

The posting

你会做什么 你将参与 Skyworks 算法能力建设，帮助 Agent 更好地理解问题、检索知识、进行推理，并在供应链、制造、运营等真实业务场景中完成预测、仿真和优化。 根据你的兴趣和能力，你可能参与以下方向之一： 方向 A：RAG 与语义检索 你将参与企业知识检索和 Agent 问答能力优化，包括： 优化向量检索、关键词检索、图检索的混合召回策略 设计 Rerank、Query Rewrite、Context Assemble 等能力 提升 Agent 在复杂业务问题中的召回率和准确率 参与企业知识库、知识图谱、文档检索的评测体系建设 方向 B：知识图谱与语义理解 你将参与企业知识图谱和 Ontology 自动建模，包括： 从文档、表格、数据库中抽取实体和关系 进行实体对齐、关系推荐、知识融合 基于业务对象构建图谱推理能力 优化图谱查询和图谱增强检索效果 方向 C：预测、仿真与优化 你将参与企业智能决策算法，包括： 需求预测、库存预测、风险预测等时间序列或分类模型 供应链网络仿真、供应中断传播模拟、多情景 what-if 分析 库存优化、资源分配、路径规划等优化问题建模 使用因果推断或反事实分析识别关键影响因素 你会接触的技术 机器学习：Scikit-learn / XGBoost / LightGBM 深度学习：PyTorch / TensorFlow 时间序列：statsmodels / Prophet / tslearn 图算法：NetworkX / PyG / DGL 优化算法：OR-Tools / PuLP / Gurobi 因果推断：DoWhy / CausalML LLM 应用：LangChain / LlamaIndex / RAG / Rerank

我们希望你具备 2027 届硕士及以上学历，计算机、人工智能、数学、统计学、运筹优化等相关专业 熟练掌握 Python，熟悉 NumPy、Pandas、Scikit-learn 等工具 了解机器学习、深度学习或优化算法的基本原理 有数据分析、建模、算法实验或论文复现经验 对大模型、Agent、RAG、知识图谱或智能决策有兴趣 加分项 有 RAG、Embedding、Rerank、知识图谱、GNN、时间序列预测、优化算法相关项目经验 熟悉 PyTorch、PyG、DGL、OR-Tools、Gurobi、DoWhy 等工具 有 Kaggle、天池、ACM、数学建模等竞赛经历 有论文发表、开源项目、技术博客或完整算法项目

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