Senior Deep Learning Engineer
Role details
Job location
Tech stack
Job description
We are hiring a Deep Learning Engineer to join the Software as Medical Device (SaMD) squad. At Implicity, we're transforming the management of cardiac conditions by providing innovative AI-powered medical devices. Our squad is building, deploying and maintaining advanced solutions that empower healthcare professionals, optimise their workflows, and ultimately improve patient lives.
As part of our skilled and collaborative team, you'll have the opportunity to translate varied and complex data into clinically impactful projects in an environment where we promote continuous learning, innovation and knowledge sharing, providing dedicated time for experimentation and professional development.
Reporting structure
Direct report: Marika (Data Scientist Manager).
Collaboration: You will work closely with the SaMD squad (Data Scientists and ML Engineers), the Clinical team for medical relevance, and the Product Manager for roadmap alignment. Cross-functional collaboration is at the heart of how we operate.
Your missions
As Deep Learning Engineer, your core mission will include:
- Deep Learning R&D: Drive the research, development and validation of state-of-the-art Deep Learning architectures (Transformers, Temporal CNNs) for various time-series data from Cardiac Implantable Electronic Device (CIED) signals.
- Self-Supervised Learning: Build and optimize Self-Supervised Learning pipelines to leverage our database of +100,000 patients.
- Health Data Hub: Explore the SNDS data via the Health Data Hub, unlocking new research opportunities at scale.
- Scientific rigor: Ensure the reproducibility, scientific correctness and transparency of each experiment, and medical relevance of our AI projects for both patients and caregivers.
- Scientific publications: Contribute to scientific publications in collaboration with our Clinical team.
Requirements
- Education: A Master's degree, Engineering degree, or PhD in a relevant field such as Data Science, AI, Applied Mathematics, or a related discipline
- 5 years of hands-on experience in Data Science
- An extensive knowledge of Machine Learning / Statistics, Deep Learning frameworks, Python and SQL
- Proficiency in French and English
- Ability to work autonomously, proactively develop new skills, and share knowledge within the team
- A team player mindset, with a genuine desire to contribute to the success of your colleagues
Bonus points:
- Experience with handling large datasets and experiment tracking in cloud environments
- Experience with developing and maintaining production-grade software systems
- A passion for working in a dynamic and rapidly evolving environment
Even better:
- Direct experience with Software as Medical Devices that have achieved CE marking or FDA approval
- Prior experience within the healthcare industry
- Experience with time-series analysis or bio-signal processing (ECG, EGM, EEG)
Benefits & conditions
- For this job (full-time), you have a base salary between €55-60k depending on your experience
- Eligible for stock option (BSPCEs) according to the company's existing rules, * Health care plan: Alan (50% employer)
- Luncheon voucher: 9€ (50% employer)
- Transport: 50% of your pass OR sustainable mobility pass
