Eko Health

digital health

SeniorAlgorithmsEngineer

$171–191k Emeryville, California, United States FULL TIME Remote Friendly
The Brief

“Senior Algorithms Engineer at Eko Health. Skills: Signal Processing, Machine Learning, Embedded Systems, Python. Design signal processing algorithms. Develop signal processing algorithms”

Industry & Context.

digital health
Eligibility Requirements

Prolonged periods of sitting and working at a computer, Must be able to perform job duties with or without reasonable accommodation

What They're Looking For.

Must Have

7+ years of experience developing and deploying signal processing algorithms in production systems, theoretical foundation in DSP: filter design (FIR/IIR), spectral analysis and time-frequency methods (e. g. STFT), Hands-on experience training and deploying ML/DL models (CNNs, RNNs, transformers) for time-series or audio classification tasks, Proven ability to optimize and deploy models to embedded targets, Proficiency in Python (NumPy, SciPy, PyTorch or TensorFlow) for algorithm development and data analysis, Working knowledge of C/C++ sufficient to write, review, and debug embedded algorithm implementations alongside firmware engineers, Experience with model compression techniques, Solid understanding of real-time constraints, Comfort working with raw physiological or acoustic signals and domain-specific data quality challenges (motion artifact, ambient noise, sensor variability)

Nice to Have

Degree in a related field

What You'll Do.

Design signal processing algorithms

Develop signal processing algorithms

Validate signal processing algorithms

Architect on-device ML models

Deploy on-device ML models

Own algorithm lifecycle

Integrate algorithm pipelines

Define ground-truth labeling

Evaluate model performance

Contribute to model optimization

Validate algorithm correctness

Regression-test algorithms

Characterize edge-case behavior

Author algorithm documentation

Maintain design history files

Maintain verification records

Conduct algorithm code reviews

Establish best practices

How You'll Work.

Team & Collaboration

Collaborate closely with firmware engineers; Partner with clinical and data science teams

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