Signal Processing Engineer

☞ ki:elements

Visualizza: 169

Giorno di aggiornamento: 24-10-2024

Località: Saarbrücken Saarland

Categoria: IT - Software

Industria: Information Technology Services

Posizione: Entry level

Tipo di lavoro: Full-time

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Contenuto del lavoro

ki:elements pioneers speech-based assessment of neurological and psychiatric pathologies. The company uses AI-based speech biomarkers to screen and monitor mental and neurological health. We use our technology to improve clinical trials, working with top players in the pharmaceutical and academic sectors.

We are looking for an enthusiastic and skilled team colleague to support us in the development of our speech processing engine Sigma.

Tasks
  • Designing and developing our speech processing engine Sigma as part of our development team
  • Understanding speech analysis (on an acoustic physical level as well as on a aggregated linguistic feature level)
  • Implementing features that leverage speech analysis in pathological contexts (e.g. speech properties that indicate depressed mood in major depressive disorder)
  • Working interdisciplinarily with Developers, Data Scientists, Medical & Pharmaceutical experts to build and release products and services that make an impact on the progress of clinical research
  • Supporting product owner as a stronghold for deep and technical speech analysis questions
Requirements
  • You have a completed degree in computer linguistics, computer science or related field with a strong focus on speech processing, signal processing or neuroscience speech processing.
  • You have 3+ years of experience in the field
  • You have strong knowledge in python programming
  • You are comfortable with a fast-paced and rapidly changing environment and eager to tackle new challenges
  • You have a strong understanding of processes and relevant experience with version management and CI/CD tools (e.g. Gitlab)
  • You have very good written and spoken English skills
Benefits
  • Exciting and challenging tasks
  • Possibility to work remotely
  • A young, fast-growing start-up
  • An interdisciplinary team with regular team events
  • Competitive compensation
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Scadenza: 08-12-2024

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