Senior Machine Learning Engineer, Biosignals Remote

CleveMed; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Beacon Biosignals is seeking a Machine Learning engineer to join the analytics and ML domain. You will scope, build, deploy, and maintain ML models analyzing brain and biosignal data for sleep, neurological, and psychiatric therapy development.

The role emphasizes collaboration with data scientists, neuroscientists, engineers, and clinicians. You will lead the development lifecycle, choose appropriate methods, improve tools, and ensure code quality with tests, documentation, and production

Qualifications

• More than 4 years of industry experience in machine learning and deep learning, especially in health sciences or regulated fields.
• Familiarity with DSP and statistics; choose right tool for the job.

Responsabilités

• Lead and participate in the end-to-end biosignal-based algorithm development lifecycle for medical devices.
• Select and develop suitable methods; apply DL when appropriate and other methods when not.
• Enhance internal ML tools, architectures, and reusable code to enable rapid experimentation.
• Promote best practices: well-documented, tested code, CI, and non-regression testing.
• Present results to stakeholders and support client-facing projects with algorithm impact.

Connaissances

Machine learning

Deep learning

DSP

Statistics

PyTorch

CI/CD

Experiment tracking

Communication

Team collaboration

Outils

Docker

Description du poste

Beacon Biosignals is seeking a Machine Learning engineer to join the analytics and ML domain. You will scope, build, deploy, and maintain ML models analyzing brain and biosignal data for sleep, neurological, and psychiatric therapy development.

The role emphasizes collaboration with data scientists, neuroscientists, engineers, and clinicians. You will lead the development lifecycle, choose appropriate methods, improve tools, and ensure code quality with tests, documentation, and production