Computer Vision Engineer - Facial rPPG

About the role

Develop and productionize facial remote photoplethysmography from smartphone and webcam video.

What you'll do

• Develop facial ROI detection, tracking, and skin-segmentation pipelines.
• Extract and optimize rPPG signals from RGB video.
• Improve robustness to motion artifacts, lighting changes, camera variability, and skin-tone differences.
• Build signal-quality assessment and artifact-rejection methods.
• Benchmark performance against reference medical devices and clinical datasets.

Requirements

• Strong experience in computer vision, image/video processing, or OpenCV.
• Experience with rPPG, PPG, biomedical signals, or camera-based physiological sensing.
• Strong Python skills.
• Familiarity with signal filtering, frequency-domain analysis, and time-series processing.

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