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Open nowFirst seen 3 days ago

Senior Machine Learning Engineer – Edge AI for Health Wearables

USound7 open roles

Pay
€60,000 a year
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Your applicationOpen nowSenior Machine Learning Engineer – Edge AI for Health WearablesUSound

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on USound's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

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.

USound is advancing in-ear wearables into intelligent health companions. We’re seeking a Senior Machine Learning Engineer to lead the development of real-time AI models for acoustic biosignal analysis, from conception to secure deployment on edge devices.

Technical Expertise

Personal Evolution

Autonomy

Responsibilities

  • Design and lead development of advanced ML models (CNN, LSTM, Transformers) for extracting HR, HRV, Pulse Wave Velocity, and Cardiac Output.
  • Ensure robustness of models against noise, motion, and device variability.
  • Drive mobile & edge deployment efforts (TensorFlow Lite, quantization, OTA updates).
  • Mentor less-experienced engineers and work closely with colleagues on firmware, SDK, and backend development.
  • Contribute to security and compliance strategies (GDPR/HIPAA).

Experience and Qualifications

  • Master’s or PhD in Computer Science, AI, Electrical/Biomedical Engineering, or Embedded Systems.
  • Strong background in deep learning, time-series analysis, and model deployment.
  • 6+ years in ML/AI with strong focus on time-series / biosignals.
  • Proven expertise in deep learning and signal processing.
  • Hands-on experience deploying ML models on mobile or embedded systems.
  • Strong knowledge of acoustic biosignals (APG, OAE).
  • Comfortable working in a small, cross-functional environment.

Nice-to-have

  • Experience with federated learning frameworks (TensorFlow Federated, Flower).
  • Prior work on medical-grade or regulated devices.
  • Knowledge of security standards and encryption methods (AES).

Home Office

Development

Lunch Dispent

Public Transportation

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 € 60,000 depending on experience, qualifications, etc.; legal minimum annual gross salary on a full-time basis: € 45,207.68.
  • 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.

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    The review screen in CV Rocket: how each CV was read, round by round.

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    An application in CV Rocket: every answer filled in on the employer's form.

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