Senior ML/Edge Engineer

We’re looking for a Senior ML/Edge Engineer to lead the development of ML models that power our physiological signal analysis. This role is ideal for someone who thrives at the intersection of machine learning, signal processing, and embedded systems — taking models from research to real-world deployment on constrained edge devices. Own the full ML lifecycle: data collection, cleaning, model training, evaluation, deployment. Develop and optimize models for signal processing and time-series biosignals. Refactor Python-based models into C/C++ for edge deployment. Address resource constraints: memory, threading, concurrency, power. Work closely with firmware/software teams to integrate models on-device. Ensure production success: deploy, monitor drift, iterate post-launch. Flexibility in profile fit: strong modelers with some C++, or strong C++ engineers with workable ML chops.