ML Research Engineer
Core
Research, design, and build next-generation models and algorithms for a clinical monitoring platform using radar, audio, and EHR data.
Role type
ML Research Engineer
Builds
Production-grade systems for physiological foundation models, patient activity monitoring, radar-based bed-exit detection, and voice-based phenotyping.
Domain
Healthcare / Clinical Monitoring / Signal Processing
Deliverable
production ML models
Required skills
scientific mindset, model deployment, hypothesis formulation, experiment design, code implementation, clinical data validation, regulatory support
Preferred skills
translating research papers to code, rigorous iteration, working with radar and audio signals
Technologies
radar, audio, EHR integrations
Responsibilities
Formulate hypotheses, design experiments, implement models, deploy models into clinical environments, collaborate with clinical research and signal processing teams, validate algorithms, define data collection requirements, support regulatory approval
Seniority
Individual Contributor