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# Senior Machine Learning Engineer - Edge AI for Health Wearables

- **Company:** My Website
- **Location:** Graz, Austria
- **Experience:** Expert
- **Salary:** €60,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Firmware, Machine Learning, Tensorflow, Signal Processing, Smart Devices, Software Security, Deep Learning, Backend, Information Technology, Machine Learning Operations, Wearables, Recurrent Neural Networks
- **Published:** October 3, 2026
- **Apply:** https://www.adzuna.at/details/5381049520

## About the Role

* Master's or PhD in Computer Science, AI, Electrical/Biomedical Engineering, or Embedded Systems.
 * Strong background in deep learning, time-series analysis, and model deployment.
 * 6+ years in ML/AI with strong focus on time-series / biosignals.
 * Proven expertise in deep learning and signal processing.
 * Hands-on experience deploying ML models on mobile or embedded systems.
 * Strong knowledge of acoustic biosignals (APG, OAE).
 * Comfortable working in a small, cross-functional environment.

Nice-to-have

 * Experience with federated learning frameworks (TensorFlow Federated, Flower).
 * Prior work on medical-grade or regulated devices.
 * Knowledge of security standards and encryption methods (AES).

## Description

USound is advancing in-ear wearables into intelligent health companions. We're seeking a Senior Machine Learning Engineer to lead the development of real-time AI models for acoustic biosignal analysis, from conception to secure deployment on edge devices.

Technical Expertise
Personal Evolution Autonomy Responsibilities

 * Design and lead development of advanced ML models (CNN, LSTM, Transformers) for extracting HR, HRV, Pulse Wave Velocity, and Cardiac Output.
 * Ensure robustness of models against noise, motion, and device variability.
 * Drive mobile & edge deployment efforts (TensorFlow Lite, quantization, OTA updates).
 * Mentor less-experienced engineers and work closely with colleagues on firmware, SDK, and backend development.
 * Contribute to security and compliance strategies (GDPR/HIPAA).