Eko Health
digital health
SeniorAlgorithmsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Algorithms Engineer at Eko Health. Skills: Signal Processing, Machine Learning, Embedded Systems, Python. Design signal processing algorithms. Develop signal processing algorithms”
Industry & Context.
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
Full Job Description
## Description About Eko Health Eko builds AI and digital tools to enable every healthcare provider to more accurately detect heart and lung disease – the leading causes of death globally. Our FDA cleared, industry leading products are used by hundreds of thousands of clinicians on millions of patients around the world. With Eko, clinicians can detect cardiac and pulmonary disease with higher accuracy, diagnose with more confidence, manage treatment effectively, and ultimately give their patients the best care possible. We have strong venture capital backing from investors like Artis Ventures, Questa Capital, Highland Capital, and Mayo Clinic Ventures. Recognized by TIME magazine in 2025 as one of the world’s top healthcare technology companies, Eko is one of the fastest growing digital health companies with products used around the world at some of the most prestigious health systems. We have more than 8 FDA clearances including novel AI algorithms, and we invest heavily in quality clinical research and R&D to build and validate exceptional products for patients we care deeply about. We’ve built a mission driven, high performing, talented, and diverse team of engineers, physicians, PhD’s, creatives, and technologists. We are committed to investing in each other and our mission to ensure all patients have access to high quality care. We are headquartered in Emeryville, California and privately-held with world class investors and partners. The impact you will make: Design, develop, and validate signal processing algorithms for cardiac and pulmonary sounds — including filtering, noise reduction, artifact removal, segmentation, and feature extraction Architect and deploy on-device machine learning models targeting resource-constrained microcontrollers, balancing accuracy against memory footprint, latency, and power consumption Own the full algorithm lifecycle: from clinical requirements and dataset curation through model training, embedded deployment, and post-market
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