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Open nowFirst seen 3 days ago

AI Engineer – Generative & Multimodal Health AI

USound7 open roles

Pay
€55,000 a year
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Your applicationOpen nowAI Engineer – Generative & Multimodal Health AIUSound

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  2. CV RocketCV written for this posting.

  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.

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

Personal Evolution

Autonomy

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.
  • Collaborate with firmware and clinical teams to validate innovative AI solutions.

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).

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 € 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.

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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  1. A CV for this posting

    Written against USound's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

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

  3. We apply on USound's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

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

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    USound's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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