EPM Consultant

Responsibilities ● Design and implement pre-processing pipelines for signal and time series data. ● Build algorithms/models for heart rate, respiration rate, movement detection, and sleep stage estimation. ● Develop robust algorithms for real-world noisy environments and validate them against reference datasets

● Conduct feature engineering for sleep-related ML models (time/frequency/wavelet features). ● Collaborate with firmware and cloud teams to integrate algorithms into on-device and cloud pipelines. ● Contribute to internal signal quality, scoring, and annotation tools.

You Have ● 4–5 years of experience in signal processing/data science/biomedical sensing. ● Solid foundation in digital signal processing (filters, FFT, IIR/FIR, wavelets). ● Experience with image models(CNN) and sequence/time series models ● Proficiency in Python (NumPy, SciPy, mne, neurokit2, pandas, matplotlib, sckit-learn) ● Experience with sleep staging, physiological data analysis, or similar time-series modeling. ● Comfort with real-world data: noise, motion artifacts, gaps, resampling, and validation. ● (Bonus) Experience with embedded signal processing, PyTorch/TF for physiological ML, or on-device inference.

Nice to Have ● Prior work with wearables, health tech, or medical devices (Ultrahuman, Dozee, Fourth Frontier, Muse, Fitbit). ● Familiarity with BCG datasets, wavelet-based HR/RR detection, or open-source sleep datasets (PhysioNet, ISRUC, Sleep-EDF). ● Understanding of biosignal labeling, ML evaluation, deployment and monitoring