Senior Machine Learning Engineer - Edge AI for Health Wearables

Almaz Capital; Graz; On-site; EUR 45,000 - 60,000; Full time

Benefits offered by this job

Lunch subsidies

Free parking

Canteen

Snack buffet

Well-being subsidies

Summer childcare subsidies

Job summary

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

You will design ML models (CNN, LSTM,Transformers), deploy on TensorFlow Lite, ensure robustness, and mentor engineers while collaborating with firmware and backend teams. This role emphasizes edge AI, privacy compliance, and scalable deployment.

Qualifications

• Master’s or PhD in CS/AI/EE or Embedded Systems.
• Strong background in deep learning and time-series analysis.
• 6+ years in ML/AI focusing on biosignals.
• Experience deploying ML on mobile/embedded devices.
• Knowledge of acoustic biosignals (APG, OAE).
• Experience with edge deployment and security/compliance (GDPR/HIPAA).

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 collaborate with firmware, SDK, and backend development.
• Contribute to security and compliance strategies (GDPR/HIPAA).

Skills

Deep learning

Time-series analysis

Model deployment

Edge ML

Signal processing

Mobile/embedded deployment

Acoustic biosignals

Education

Master’s or PhD in CS/AI/EE/Embedded

Tools

TensorFlow Lite

OTA updates

TensorFlow Federated (TF Federated)

Quantization

Job description

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 byenabling 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

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