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Open nowPosted 228 days ago

AI健康算法工程师实习生（生理信号方向）

anker-in/campushirecn495 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI健康算法工程师实习生（生理信号方向）anker-in/campushirecn · Beijing, 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. anker-in/campushirecn postings stay open a median of 1 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. 57.8%60 days
This job: posted 228 days ago

anker-in/campushirecn median: 1 days open

The posting

安克实习生项目是面向正式校招岗位的人才培养与选拔通道。实习期间将按照校招标准进行系统的培养与综合评估,表现优秀者可直接获得校招转正机会,提前锁定正式校招席位。我们以严肃、长期的视角对待每一位实习生,也期待与你共同成长。

【你将参与】 1.参与血氧、心率、血压等核心生理指标的数据处理工作，独立完成数据清洗、标注等预处理环节，配合跟进模型设计开发与迭代优化流程。对接产品、硬件及数据团队，记录算法对数据质量的需求标准，整理模型落地过程中的技术问题，推动跨团队基础协作，为健康数据的实时监控与精准分析提供支持。 2.依托 TensorFlow、PyTorch 等深度学习框架，参与端到端算法训练体系的搭建，实践数据增强、模型微调等核心技术。针对多模态生理信号（PPG/ECG/ACC 等）融合分析任务，参与信号处理专家、临床顾问的交流会议，吸纳专业意见并参与优化特征工程方案，确保算法设计贴合实际健康监测场景需求。 3.参与探索新型传感器在生理信号检测中的应用，加入技术研讨会议，整理传感器技术特性、信号适配难点等资料，协调基础资源推进技术落地准备工作，为产品提升健康监测精准度与持续性提供辅助支持。定期沉淀技术成果，参与撰写技术文档，助力团队知识共享。

1.人工智能、信号处理、信息工程、计算机科学、生物医学工程等相关专业，能保证稳定的实习周期。 2.了解 TensorFlow、PyTorch 等至少一种深度学习框架，有 AI 算法相关课程作业、课程设计或小型项目经历（涉及生理信号检测、健康分析方向优先），能清晰阐述项目参与过程、技术思路及学习收获。 3.具备生理信号处理（如 PPG、ECG）相关基础知识，了解信号噪声分析、数据增强等基础技能，可独立对接数据团队传递基础数据处理需求，或向业务团队解释简单算法逻辑。 4.具备良好的沟通表达与团队协作能力，能主动配合团队完成任务，准确捕捉不同角色的需求，清晰传递基础技术信息；认同大健康产业方向，对技术创新抱有热情、愿意主动学习。

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