ML Engineer – Computer Vision: Build smarter, safer care technology
Core
Develop and deploy computer vision models for embedded devices in sensor-driven care technology to detect risks like falls and noise in real-world care environments.
Role type
Senior Machine Learning Engineer (Computer Vision, Embedded Systems)
Builds
Real-time AI models for RoomMate AI multisensor and Sensio 365 nurse call solution
Domain
Healthcare technology / Embedded AI / Computer Vision
Deliverable
production ML models
Required skills
Computer vision, Python, PyTorch, Embedded systems optimization, Sensor data processing (depth, time-of-flight), Model validation, Edge inference, Hardware constraints management
Preferred skills
Time-of-flight cameras, Embedded Linux/C++, Model profiling, MLOps, Safety-critical systems
Technologies
PyTorch, Embedded Linux, C++, MLflow, Depth sensors, Time-of-flight sensors
Responsibilities
Train and validate computer vision models for embedded hardware; Optimize models for memory, power, and performance on resource-constrained devices; Process sensor data (depth, ToF) to improve model robustness; Prepare models for deployment and export; Build systems for continuous model improvement and feedback loops; Collaborate with embedded and software teams for real-world reliability
Seniority
Senior, hands-on IC
