This position is not eligible for visa sponsorship (e.g., H-1B, TN, etc.).
About The Role
PLEASE READ QUALIFICATIONS BEFORE APPLYING
We are looking for a Machine Learning Engineer with a deep background in Digital Signal Processing (DSP) and Time-Series Deep Learning. You will be working alongside other bioengineers architecting the "intelligence layer" of our device. Your mission is to translate blood analyte data measured with our non-invasive sensor into isolated measurements.
Your data set will contain complex waveforms that are riddled with motion artifacts and physiological noise. We want a self starter who can take complete ownership of their area and will be expected to work autonomously with no micromanagement or hand holding. This role may include international travel as well.
Responsibilities
• Design and implement robust pipelines to clean and normalize raw "sawtooth" waveforms from sensors.
• Build and train Deep Learning models (CNN-LSTMs, Transformers, or State-Space Models) to perform regression on physiological signals to estimate blood-constituent volumes.
• Extract morphological and frequency-domain features (Pulse Arrival Time, Pulse Area, Harmonic Ratios) that correlate with blood viscosity and analyte concentration.
• Develop "Biosignal Intelligence" layers to detect and reject "bad data" caused by motion, skin-tone variations, environmental interference, etc.
• Conduct rigorous error-grid analysis (e.g., Clarke Error Grid) and validation against "gold standard" invasive lab results.
Qualifications
This position is not eligible for visa sponsorship (e.g., H-1B, TN, etc.). Please note that the minimum qualifications for this role are firm; only candidates who meet the listed requirements will be moved forward.
• MS or PhD in Biomedical Engineering, Computer Science, or Electrical Engineering with a focus on ML/Signal Processing, or equivalent experience.
• Solid software development experience in C, C++, and Python.
• Proven experience building regression ML models for time-series data using PyTorch or TensorFlow.
• Deep understanding of the physics of IR, Photoplethysmography (PPG) and/or RF sensing.
• Mastery of Digital Signal Processing (FFTs, Wavelet Transforms, Adaptive Filtering).
• Applicants must be currently authorized to work in the United States on a full-time basis.
