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# Machine Learning Engineer - Acoustic Biosignal Analysis

- **Company:** My Website
- **Location:** Graz, Austria
- **Experience:** Experienced
- **Salary:** €37,362.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Firmware, Machine Learning, Tensorflow, Signal Processing, Smart Devices, Pytorch, Deep Learning, Information Technology, Machine Learning Operations, Wearables, Recurrent Neural Networks
- **Published:** July 14, 2026
- **Apply:** https://www.adzuna.at/details/5381049369

## About the Role

* Bachelor's or Master's degree in Computer Science, Electrical/Biomedical Engineering, or Data Science
 * Coursework or projects in Machine Learning, Signal Processing, or Biosignal Analysis are a plus
 * 2-3 years of experience in ML/AI, ideally with time-series or biosignal data
 * Solid understanding of TensorFlow or PyTorch
 * Familiarity with signal processing techniques (e.g., filtering, peak detection)
 * Basic experience in deploying AI models on embedded or edge devices
 * Strong collaborative mindset and eagerness to learn and grow

Nice-to-have

 * Familiarity with biosignal toolkits (NeuroKit2, HeartPy).
 * Experience with wearable devices or healthcare applications.

## Description

Personal Evolution Autonomy Responsibilities

 * Contribute to deep learning models (CNN, LSTM) for acoustic biosignals (e.g., APG).
 * Implement algorithms for HR, HRV, and vascular health indicators.
 * Assist in making models robust to motion artifacts and noise.
 * Optimize ML pipelines for mobile deployment (TensorFlow Lite).
 * Collaborate with senior engineers and firmware teams to bring AI into production.


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