Machine Learning Engineer – Signal Processing

Nanological

Spain · Full-time · Entry

Machine Learning Engineer – Signal Processing for Diagnostics ?? Madrid (Parque Científico) | On-site with 1 remote day/week ?? Deep Tech
AI
Sensors
Diagnostics ?? About the Company - Nanological is a CSIC spin-off developing a breakthrough diagnostic platform for the rapid and precise detection of sepsis.

Our proprietary system integrates microfluidics, optomechanical sensing and machine learning to identify pathogens directly from blood within minutes.

We've been recognized as a Deep Tech Pioneer by Hello Tomorrow, selected among the Top 100 startups by APTE and awarded by EIT Health, Comunidad de Madrid and the Spanish Ministry of Equality for our innovation and clinical impact.

About the Role - We are looking for a Machine Learning Engineer with strong foundations in signal processing and a product-oriented mindset.

You'll work with real sensor data to extract bacterial signatures and building a robust, scalable ML subsystem for integration into a regulated diagnostic product.

This is a unique opportunity to shape a high-impact diagnostic product based on deep technology.

Responsibilities Analyze and process optomechanical sensor signals to enhance signal-to-noise ratio and to extract diagnostic-relevant featuresDevelop and evaluate ML models for bacterial classificationBuild modular, reusable code for signal processing and model pipelinesDefine and track sensitivity/specificity and other performance metricsEnsure compatibility with embedded and cloud-based integrationHelp lay the foundations of a production-ready ML subsystem ?? Qualifications Degree in Electrical Engineering, Physics, Mathematics, Computer Science or a related field2–4 years applying ML and signal processing to real-world sensor or experimental dataProven experience in ML pipeline development and product-aligned implementationExperience working in cross-functional teams (hardware and software) ?? Technical Skills Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)Solid understanding of signal processing (filtering, spectral analysis, feature extraction)Experience with ML classification models and deep learning frameworksFamiliarity with CI/CD, version control, modular design and DockerBonus: experience in C++ or embedded system development ?? Why Join Nanological Contribute to a first-of-its-kind medical product with real clinical impactJoin a highly skilled, mission-driven teamGain technical ownership from day oneCollaborate with leading research and clinical institutionsCompetitive compensation and real opportunities for professional growth ?? Equal Opportunity - Nanological is an equal opportunity employer.

We value diversity and are committed to creating an inclusive and respectful workplace for all.

How to Apply - Send your CV and a short introduction to ****** If you're ready to build something meaningful — we'd love to hear from you.

Key Skills

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machine learning embedded deep learning python pandas cloud numpy cicd c

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