Machine Learning Engineer – Acoustic Biosignal Analysis

Overview

Graz, Austria

USound is disrupting the audio industry, setting new standards in audio experience, and maximizing the degrees of freedom in manufacturing wearables and hearables.

We are leaders in acoustic solutions based on MEMS speakers. Since 2018, we have been 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’re pioneering the future of in-ear wearables — devices that go beyond musicplayback to unlock real-time health insights. We’re looking for an early-career Machine Learning Engineer eager to work on AI models for acousticbiosignal processing and real-time mobile deployment.

Responsibilities

• Contribute to deep learningmodels (CNN, LSTM) for acoustic biosignals (e.g., APG).
• Implement algorithms for HR, HRV, and vascular health indicators.
• Assist in making models robustto motion artifacts and noise.
• Collaborate with seniorengineers and firmware teams to bring AI into production.

Experience and Qualifications

Nice-to-have

What we offer

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.

#J-18808-Ljbffr