Machine Learning Engineer – Acoustic Biosignal Analysis

USound GmbH; Österreich; Vor Ort; EUR 37.000 - 45.000; Vollzeit

Benefits dieser Stelle

Lunch subsidies

Language courses

Well-being subsidies

Summer childcare subsidies

Future provision

Free parking slots

Canteen

Snack buffet

Zusammenfassung

USound GmbH in Graz, Austria is seeking an early-career Machine Learning Engineer to develop AI models for acoustic biosignals and enable real-time deployment on wearables. You will work with CNNs/LSTMs, apply signal processing techniques, and collaborate with firmware teams to make models robust to motion artifacts and noise, bringing AI into production.

A bachelor’s or master’s in CS/engineering is expected, along with 2–3 years of ML/AI experience, TensorFlow or PyTorch knowledge, and a

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Electrical/Biomedical Engineering, or Data Science.
• Coursework or projects in Machine Learning, Signal Processing, or Biosignal Analysis are a plus.
• 2–3 years of experience in ML/AI, ideally with time-series or biosignal data.
• Solid understanding of TensorFlow or PyTorch.
• Familiarity with signal processing techniques (e.g., filtering, peak detection).
• Basic experience deploying AI models on embedded or edge devices.
• Strong collaborative mindset and eagerness to learn and grow.

Aufgaben

• Contribute to deep learning models (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 senior engineers and firmware teams to bring AI into production.

Kenntnisse

Machine Learning

Time-series data

Biosignal analysis

TensorFlow

PyTorch

Signal processing

Edge deployment

Team collaboration

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Electrical/Biomedical Engineering, or Data Science

Jobbeschreibung

Machine Learning Engineer – Acoustic Biosignal Analysis

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-careerMachine Learning Engineer eager to work on AI models for acousticbiosignal processing and real-time mobile deployment.

Technical Expertise

Personal Evolution

Autonomy

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

• Bachelor’s or Master’s degree in ComputerScience, Electrical/Biomedical Engineering, or Data Science
• Coursework or projects in MachineLearning, Signal Processing, or Biosignal Analysis are a plus
• 2–3 years of experience in ML/AI, ideallywith time-series or biosignal data
• Solid understanding of TensorFlow orPyTorch
• Familiarity with signal processingtechniques (e.g., filtering, peak detection)
• Basic experience in deploying AI models onembedded or edge devices
• Strong collaborative mindset and eagernessto learn and grow

Nice-to-have

• Familiarity with biosignaltoolkits (NeuroKit2, HeartPy).
• Experience with wearabledevices or healthcare applications.

Home Office

Development

Lunch Dispent

Public Transportation

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 € 45,000depending on experience, qualifications, etc.; legal minimum annual gross salary on a full-time basis: € 37,361.66.
• 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.