On-Device ML Engineer Ear-Worn Health Sensors
OmniBuds
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-Ljbffr OmniBuds
Vacancy posted 4 days ago
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