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Implicity Logo Implicity · IT - Software Development

Deep Learning Engineer Intern

France, Paris 1200.00 EUR / Month · Job Posted March 22, 2026
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Job Description

We are hiring a Deep Learning Engineer Intern to join the Software as Medical Device (SaMD) squad for a 6-month end-of-study internship. At Implicity, we're transforming the management of cardiac conditions through innovative AI-powered medical devices. You will join a high-impact research project focused on Deep Learning on large datasets of Cardiac Implantable Electronic Device (CIED) signals. This internship aims to develop large cardiac data models, and assess their ability to generalise across multiple clinical tasks.

Job Responsibility

  • Research and implement state-of-the-art Deep Learning architecture (Transformers, Temporal CNNs) for long time-series data
  • Contribute to developing self-supervised learning pipelines to leverage our database of over 100,000 patients
  • Fine-tune and evaluate these learned representations on specific clinical diagnostic tasks (arrhythmia detection, patient risk stratification)

Requirements

  • Education: final year of a Master's degree or Engineering degree in a relevant field such as Data Science, AI, Applied Mathematics, or a related discipline
  • Hands-on experience with Python and Deep Learning frameworks
  • Excellent theoretical knowledge of Deep Learning foundations (gradient flow, back-propagation, and network architecture logic), and associated mathematical base
  • Professional proficiency in French and English

Nice to have

  • Good understanding of self-supervised learning or generative modelling
  • Experience with time-series analysis or bio-signal processing (ECG, EGM, EEG)
  • Familiarity with distributed training or handling large datasets in cloud environments
  • Prior experience in the healthcare industry

What we offer

  • Luncheon voucher: 9€ (50% employer)
  • Transport: 50% of your pass OR sustainable mobility pass
  • 1 day off per month, cumulative over the 6 months of the internship
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