An early-stage medical device company is developing a wearable biosignal platform with real-time predictive capabilities. The technology targets a significant unmet clinical need, enabling preventative intervention and greater patient independence for those living with treatment-resistant neurological conditions.

This is a founding-team role with meaningful technical ownership and direct influence on product and company direction.

Responsibilities

Design, develop, and validate machine learning models for real-time biosignal processing and event prediction
Own the full ML pipeline — from raw signal acquisition and feature engineering through model training, evaluation, and on-device deployment
Collaborate closely with hardware, firmware, and clinical teams to ensure signal integrity and system performance
Contribute to regulatory documentation and ensure development practices align with relevant medical device standards
Drive architectural decisions and help establish engineering best practices as the team scales

Qualifications

Strong foundation in signal processing, time-series analysis, and applied ML — ideally with physiological or biosignal data (EEG, ECG, EMG, etc.)
Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, scikit-learn)
Experience with embedded or resource-constrained ML deployment is a strong plus
Familiarity with medical device development workflows (FDA, IEC 62304, or similar) is a plus
Excellent problem-solving skills and comfort working in ambiguous, fast-moving environments
Master’s or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field preferred

Momentum Staffing Group LLC

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