AI Engineer - Generative & Multimodal Health AI

Almaz Capital; Graz; On-site; EUR 43,000 - 55,000; Full time

Benefits offered by this job

Lunch subsidies

Language courses

Well-being subsidies

Summer childcare subsidies

Future provision

Free parking

Canteen

Snack buffet

Job summary

USound Graz, Austria, is seeking an AI Engineer to advance generative and self-supervised models for acoustic biosignals. You will explore multimodal fusion with motion data and wearables, designing edge-friendly architectures for real-time inference.

Collaborate with firmware and clinical teams; bring innovative AI solutions to health insights from acoustic biosignals. Experience in time-series multimodal data and prototyping is valued.

Qualifications

• Master’s or PhD in AI, ML, CS, or Biomedical Engineering with AI focus.
• Experience with generative/self-supervised models and multimodal data is highly desirable.
• 4–5 years of experience in ML/AI in research-heavy or applied roles.

Responsibilities

• Develop self-supervised and generative approaches for acoustic biosignal representation.
• Research multimodal fusion for robust health insights.
• Prototype edge-friendly architectures for low-power real-time inference.
• Collaborate with firmware and clinical teams to validate AI solutions.

Skills

Generative AI

Self-supervised learning

Multimodal data

ML model development

Time-series data

Prototyping

Education

Master’s or PhD in AI/ML/CS or Biomedical Engineering with AI focus

Tools

PyTorch

TensorFlow

Job description

AI Engineer – Generative & Multimodal Health AI

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.

At USound, we believe the future of wearables lies in adaptive AI models that unlock health insights from acoustic biosignals. We’re looking for an AI Engineer to explore cutting-edge methods like generative AI and self-supervised learning for biosignal modeling.

Responsibilities

• Develop self-supervised and generative approaches (contrastive learning, VAEs, diffusion models) for acoustic biosignal representation.
• Research multimodal fusion (acoustic biosignals, motion sensors, hearing data) for robust health insights.
• Prototype edge-friendly architectures optimized for low-power real-time inference.
• Collaborate with firmware and clinical teams to validate innovative AI solutions.

Experience and Qualifications

• Master’s or PhD in AI, Machine Learning, Computer Science, or Biomedical Engineering with AI focus.
• Experience with generative/self-supervised models and multimodal data is highly desirable.
• 4–5 years of experience in ML/AI, ideally in research-heavy or applied roles.
• Strong background in generative models and self-supervised learning.
• Experience working with multimodal time-series datasets.
• Proficiency in PyTorch or TensorFlow, with strong prototyping skills.

Nice-to-have

• Publications or open-source contributions in representation learning.
• Experience with wearable health or acoustic biosignal data.
• Familiarity with privacy-preserving methods (federated/on-device learning).

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 € 55,000 depending on experience, qualifications, etc.; legal minimum annual gross salary on a full-time basis: € 42,591.92.
• 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.