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Open nowPosted 33 days ago

【校招】物理智能数据与算法工程师-物理智能中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招】物理智能数据与算法工程师-物理智能中心aicarrier/522799 · 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.

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. 57.8%60 days
This job: posted 33 days ago

The posting

1.面向物理世界模型的研发与应用，负责数据链路的研发及实现、参与模型核心算法的实现、优化和系统集成，参与多模态理解、未来预测及行为生成模型的开发与迭代。 2.聚焦建设人类视频、机器人真机及仿真数据的处理流程，主导完成数据清洗、质量筛选、时序同步、多视角处理、动作与状态对齐及跨本体适配，支撑大规模多源数据训练。 3.围绕模型效果与计算成本参与算法优化，参与模型结构改进、训练策略调整及数据配比实验，推动高效注意力、模型蒸馏、量化和推理加速等技术落地。 4.与研究团队协作，将前沿方法转化为可复用的算法模块与工程流程，完善代码、文档和发布工具，支持模型、训练框架及数据处理工具的开源与交付。

1.计算机科学、人工智能、机器人、自动化、电子工程等相关专业本科及以上学历，硕士及以上学历优先，或具有同等工程研发能力。 2.具备扎实的机器学习和深度学习基础，熟悉多模态模型、视频生成、三维视觉、世界模型或机器人学习中的至少一个方向，能够理解相关论文并完成算法实现与改进。 3.熟练使用 Python、PyTorch 及 Linux 开发环境，具备良好的代码设计、调试和性能分析能力，能够独立完成模型训练、评测及问题定位。 4.具有较大规模模型训练或推理优化经验，熟悉分布式训练、混合精度、显存优化、数据加载或模型部署等技术中的一项或多项。 5.具备数据处理与质量分析能力；具有视频、多视角、三维数据或机器人轨迹处理经验，熟悉时序同步、动作表示与归一化等技术者优先。 6.具有以下一项或多项经验者优先：视频或多模态模型训练、模型蒸馏与量化、GPU 算子优化、仿真环境集成、真实机器人部署，或高质量开源项目开发与维护。 7.对物理世界模型与具身智能具有浓厚兴趣，具备较强的自主学习、问题解决和团队协作能力，重视实验可复现性、代码质量及系统交付效果。

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