鉅怡智慧股份有限公司
Open positions
Machine Learning and Signal Processing Engineer (機器學習與訊號處理工程師)
Develops and improves core ML and signal-processing algorithms (adaptive and learning-based filtering) for FaceHeart's non-contact physiological sensing software aimed at medical-grade vital sign diagnostics, including experiment design, ablation studies, and formal documentation for certification. Core stack: Python, C/C++, DSP, and ML.
Junior Machine Learning and Signal Processing Engineer (初級機器學習與訊號處理工程師)
Junior engineer on the algorithm team of a healthcare application developer, using machine learning, statistics, and digital signal processing (in Python and C/C++) to refine the software's boundary conditions, run ablation/validation experiments, and write formal technical documents and testing reports.
演算法實習生
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.