AI Engineer – Generative & Multimodal Health AI

USound GmbH; Österreich; Vor Ort; EUR 43.000 - 55.000; Vollzeit

Benefits dieser Stelle

Lunch subsidies

Language courses

Well-being subsidies

Summer childcare subsidies

Free parking

Zusammenfassung

USound GmbH in Graz, Austria, is seeking an AI Engineer focusing on Generative and Multimodal Health AI to explore cutting-edge methods such as self-supervised learning for biosignal modeling. The role emphasizes edge-friendly architectures and cross-functional collaboration.

You will work with firmware and clinical teams to evaluate models on multimodal time-series data and contribute to a ground-breaking health AI platform. A Master’s or PhD in AI/ML and 4–5 years of experience are expected.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Generative models

Self-supervised learning

Multimodal data

PyTorch

TensorFlow

ML research

Ausbildung

Master's or PhD in AI/ML/CS/ Biomedical Eng with AI focus

Tools

PyTorch

TensorFlow

Jobbeschreibung

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 forwearables 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.

AtUSound, we believe the future of wearables lies in adaptive AI modelsthat unlock health insights from acoustic biosignals. We’re looking for an AIEngineer to explore cutting‑edge methods like generative AI andself‑supervised learning for biosignal modeling.

Technical Expertise

Responsibilities

• Develop self‑supervised andgenerative approaches (contrastive learning, VAEs, diffusion models) foracoustic biosignal representation.
• Research multimodal fusion(acoustic biosignals, motion sensors, hearing data) for robust healthinsights.
• Prototype edge‑friendlyarchitectures optimized for low‑power real‑time inference.
• Collaborate with firmware andclinical teams to validate innovative AI solutions.

Experience and Qualifications

• Master’s or PhD in AI, MachineLearning, Computer Science, or Biomedical Engineering with AI focus.
• Experience withgenerative/self‑supervised models and multimodal data is highly desirable.
• 4–5 years of experience inML/AI, ideally in research‑heavy or applied roles.
• Strong background in generativemodels and self‑supervised learning.
• Experience working withmultimodal time‑series datasets.
• Proficiency in PyTorch orTensorFlow, with strong prototyping skills.

Nice‑to‑have

• Publications or open‑sourcecontributions in representation learning.
• Experience with wearable healthor acoustic biosignal data.
• Familiarity withprivacy‑preserving methods (federated/on‑device learning).

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 € 55,000depending 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.