Machine Learning Engineer – Signal Processing

Nanological; Madrid; Híbrido; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative company is seeking a talented Machine Learning Engineer to work on groundbreaking diagnostic technology. This role focuses on analyzing sensor data and developing scalable ML systems for medical applications. You will collaborate with a highly skilled team, contributing to a product that has a real clinical impact. Enjoy the challenge of building modular code and evaluating ML models while gaining technical ownership from day one. If you're passionate about making a difference in healthcare through technology, this opportunity is perfect for you.

Servicios

Competitive compensation

Opportunities for professional growth

Collaborative work environment

Technical ownership from day one

Formación

• 2–4 years of experience in ML and signal processing.
• Proven experience in ML pipeline development.
• Strong foundations in signal processing techniques.

Responsabilidades

• Analyze optomechanical sensor signals for diagnostics.
• Develop ML models for bacterial classification.
• Build reusable code for signal processing pipelines.

Conocimientos

Python

Machine Learning

Signal Processing

Data Analysis

Feature Extraction

Educación

Degree in Electrical Engineering

Degree in Physics

Degree in Mathematics

Degree in Computer Science

Herramientas

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Docker

Descripción del empleo

Machine Learning Engineer – Signal Processing for Diagnostics
Madrid (Parque Científico) | On-site with 1 remote day / week | Deep Tech

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 have 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 seeking a Machine Learning Engineer with strong foundations in signal processing and a product-oriented mindset. You will work with real sensor data to extract bacterial signatures and develop a robust, scalable ML subsystem for integration into a regulated diagnostic product. This role offers a unique opportunity to contribute to a high-impact diagnostic product based on deep technology.

Responsibilities

1. Analyze and process optomechanical sensor signals to enhance signal-to-noise ratio and extract diagnostic-relevant features.
2. Develop and evaluate ML models for bacterial classification.
3. Build modular, reusable code for signal processing and model pipelines.
4. Define and track performance metrics such as sensitivity and specificity.
5. Ensure compatibility with embedded and cloud-based systems.
6. Help establish a production-ready ML subsystem.

Qualifications

• Degree in Electrical Engineering, Physics, Mathematics, Computer Science, or a related field.
• 2–4 years of experience applying ML and signal processing to real-world sensor or experimental data.
• Proven experience in ML pipeline development and product-aligned implementation.
• Experience working in cross-functional teams (hardware and software).

Technical Skills

• Strong Python skills (NumPy, pandas, scikit-learn, PyTorch / TensorFlow).
• Solid understanding of signal processing techniques (filtering, spectral analysis, feature extraction).
• Experience with ML classification models and deep learning frameworks.
• Familiarity with CI/CD, version control, modular design, and Docker.
• Bonus: experience in C++ or embedded system development.

Why Join Nanological

• Contribute to a groundbreaking medical product with real clinical impact.
• Join a highly skilled, mission-driven team.
• Gain technical ownership from day one.
• Collaborate with leading research and clinical institutions.
• Enjoy competitive compensation and opportunities for professional growth.

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 [contact email]. If you're ready to build something meaningful — we’d love to hear from you.