AI Engineer – Generative & Multimodal Health AI

Das ist der Job

USound achieves this through radical miniaturization, power reduction, and increased production efficiency.

Darum lohnt es sich

Collaborate with firmware and clinical teams to validate innovative AI solutions. What we offer The opportunity to grow along with an internationally active, innovative company and a ground‑breaking technology. Collegial environment in a dynamic and dedicated team.

Benefits: We offer a range of perks including lunch subsidies, language courses, well‑being and summer childcare subsidies, future provision, and many more.

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. 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. Technical Expertise 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. 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). Flexible working time and goal‑oriented work environment.

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. At our location you will find free parking slots, a canteen and a snack buffet. #J-18808-Ljbffr