演算法實習生
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Summary
Machine learning student intern at FaceHeart refining camera-based atrial fibrillation detection algorithms to improve non-contact physiological sensing toward medical-grade precision. Day-to-day work includes cleaning clinical data, evaluating model/feature performance with statistical metrics, and writing technical documents for medical certification.
About the job:
We are seeking a self-motivated and strong technical machine learning student intern to work on developing advanced algorithms for healthcare applications. FaceHeart aims to improve the reliability of non-contact physiological signal sensing and diagnosis and to achieve medical level precision.
What you will be doing:
- Refine and adjust algorithm of atrial fibrillation detection through digital camera.
- Organize and clean the clinical data to analyze and visualize the algorithm or model performance.
- Adopt feasible statistical metrics to measure the feature performance.
- Write technical documents for medical certification
Way to stand out from the crowd:
- Experience with digital signal processing.
- Be familiar with statistics