Senior Machine Learning Engineer – Edge AI for Health Wearables

Vor 5 Tagen

Graz, Steiermark, Österreich My Website Vollzeit € 45.207 - € 60.000 pro Jahr


Senior Machine Learning Engineer – Edge AI for Health Wearables

Graz,
Austria

USound is disrupting the audio industry, setting new standards in audio experience, and maximizing the degrees of freedom for wearables and hearables.

We are leaders in acoustic solutions based on MEMS speakers by enabling our customers to bring new revolutionary audio products to the market. USound achieves this through radical miniaturization, power reduction, and increased production efficiency. 

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).
Experience and Qualifications 
  • 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).


Home Office

Development

Lunch Dispent

Public Transportation 

What we offer
  • The opportunity to grow along with an internationally active, innovative company and a ground-breaking technology.
  • Flexible working time and goal-oriented work environment.
  • Collegial environment in a dynamic and dedicated team.
  • Range of the annual gross salary from € 60,000 depending on experience, qualifications, etc.; legal minimum annual gross salary on a full-time basis: € 45,207.68.
  • Additional incentives including bonuses and profit-sharing opportunities.

Benefits: We offer a range of perks including lunch subsidies, language courses, well-being and summer childcare subsidies, future provision, and many more. At our location you will find free parking slots, a canteen and a snack buffet.

 
Bonus  

Work Live Friendly
Jobrad Free Refreshments

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