Senior Algorithm Engineer- Med Tech

Senior Algorithms Engineer

Our client is a well-funded innovator in the development and commercialization of wearable (non-invasive) health monitoring wearable platforms specifically for patients suffering from a range of cardiovascular and neurological disorders.

They have immediate need for a Senior Algorithms Engineer, with a strong background in biomedical signal processing, machine learning, or related field. This role is focused on interpreting time-series signals from wearable devices in both post-processing and real-time contexts for interpreting predictive physiologic data to provide relevant status to patients and physicians.

Key Responsibilities:

• Design, build, validate, and optimize signal processing, machine learning and deep learning models for time-series biomedical signal analysis
• Lead biomarker discovery and feature engineering initiatives, including planning and managing short-term and long-term project timelines with deliverables and performance targets
• Develop production-grade code for scalable product deployment
• Collaborate with hardware and embedded teams to transition algorithms into low power implementations
• Document processes and results to comply with internal and FDA-regulated processes
• Contribute to research publications, IP development, and technical strategy

Qualifications (required and/or preferred):

• Ph.D. in Biomedical/Electrical/Computer Engineering, Computer Science, or a related field
• 3+ years relevant experience in time-series biomedical signal analysis (e.g., EEG, ECG, PPG, EMG, IMU)
• Strong experience in machine learning, model development, statistical modeling, and signal processing techniques
• Fluent in Python, Num Py, Sci Py, PyTorch/Tensor Flow, scikit-learn
• Proven ability to write clean, efficient, production-quality code
• Experience translating research algorithms into deployable systems, including generation of required documentation and implementing traceability of testing/validation processes
• Experience in biomarker discovery and physiological feature extraction
• Experience optimizing algorithms to improve performance within constraints
• Familiarity with edge deployment frameworks including Swift, C/C++, Lite Flite, etc.