Senior Machine Learning Engineer – Edge AI for Health Wearables

USound GmbH; Österreich; Vor Ort; EUR 41.000 - 50.000; Vollzeit

Benefits dieser Stelle

Lunch subsidies

Language courses

Well-being subsidies

Summer childcare subsidies

Free parking

Canteen

Snack buffet

Zusammenfassung

USound GmbH in Graz, Austria seeks a Senior Machine Learning Engineer to lead real-time AI on edge devices for acoustic biosignals and health wearables.

You will design ML models (CNN, LSTM, Transformers) for HR/HRV/PulseWave Velocity, ensure robustness against noise and motion, and drive mobile/edge deployment using TensorFlow Lite and OTA updates. Collaboration with firmware and backend teams is essential.

Qualifikationen

• 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.

Aufgaben

• Design and lead development of advanced ML models (CNN, LSTM, Transformers) for extracting HR, HRV, PulseWave 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 firmware, SDK, and backend development.
• Contribute to security and compliance strategies (GDPR/HIPAA).

Ausbildung

Master’s degree in Computer Science/AI/ Electrical/Biomedical Engineering/Embedded Systems

PhD in related field

Tools

TensorFlow Lite

Edge deployment

Jobbeschreibung

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 forwearables and hearables.

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

USound isadvancing in-ear wearables into intelligent health companions. We’re seeking a SeniorMachine Learning Engineer to lead the development of real-time AI modelsfor acoustic biosignal analysis, from conception to secure deployment onedge devices.

Responsibilities

• Design and lead development ofadvanced ML models (CNN, LSTM, Transformers) for extracting HR, HRV, PulseWave Velocity, and Cardiac Output.
• Ensure robustness of modelsagainst noise, motion, and device variability.
• Drive mobile & edgedeployment efforts (TensorFlow Lite, quantization, OTA updates).
• Mentor less-experiencedengineers and work closely with colleagues on firmware, SDK, and backenddevelopment.
• Contribute to security andcompliance strategies (GDPR/HIPAA).

Experience and Qualifications

• Master’s or PhD in ComputerScience, AI, Electrical/Biomedical Engineering, or Embedded Systems.
• Strong background in deeplearning, time-series analysis, and model deployment.
• 6+ years in ML/AI with strongfocus on time-series / biosignals.
• Proven expertise in deeplearning and signal processing.
• Hands-on experience deployingML models on mobile or embedded systems.
• Strong knowledge of acousticbiosignals (APG, OAE).
• Comfortable working in a small,cross-functional environment.

Nice-to-have

• Experience with federatedlearning frameworks (TensorFlow Federated, Flower).
• Prior work on medical-grade orregulated devices.
• Knowledge of security standardsand encryption methods (AES).

What we offer

• The opportunity to grow along with an internationally active, innovative companyand a ground-breaking technology.
• Flexible working time and goal-oriented workenvironment.
• Collegial environment in a dynamic and dedicated team.
• Range of the annual gross salary from € 60,000depending 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.