OmniBuds is seeking an On-Device ML Engineer to develop machine-learning models that run directly on ear-worn devices. You will extract cardiovascular and autonomic health signals from real-world data under tight compute and power constraints.
You will lead pipelines from signal cleaning to model design, collaborating with hardware teams and advancing DSP + ML approaches for continuous BP estimation and digital biomarkers. This full-time hybrid role is based in Nashville, USA.
#J-18808-LjbffrOn-Device ML Engineer — Ear-Worn Health Sensors in nashville at Unknown Company
This position is listed as full time and hybrid.