Computer Vision Engineer
Core
Build and maintain the Python/FastAPI backend and AWS infrastructure for a platform that extracts vital signs from face videos using rPPG technology.
Role type
Senior Computer Vision Engineer (rPPG pipeline)
Builds
Production-grade backend services and cloud infrastructure for medical and consumer health monitoring products
Domain
Healthtech / Computer Vision / rPPG (remote photoplethysmography)
Deliverable
production ML models
Required skills
Computer vision (classical and deep learning), PyTorch, temporal modeling (3D CNNs, transformers, optical flow), face detection/landmarking/segmentation/tracking, video data pipelines, MLOps, AWS
Preferred skills
rPPG or physiological signal processing, model compression/quantization/ONNX, explainable AI techniques
Responsibilities
Improve facial region detection and tracking for blood-volume-pulse signal extraction; design and train deep-learning CV models with temporal architectures; bring models into production with real-time inference and MLOps; produce validation evidence and documentation for medical certification
Seniority
Senior, hands-on IC
