Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence.
Thanks to our leading cardiac remote monitoring platform, it’s way easier to manage data and predict patient issues, so that cardiologists can bring the best care at the best time.
To put it simply, when you join Implicity, you’ll contribute to save lives with us
Dr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016.
10+ years later, a French Start-Up / Scale-Up is a real game changer in the healthcare market, literally shaping the future of cardiology.
250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients.
At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together.
This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market.
In a nutshell, thanks to Implicity:
Patients get a far better care
Doctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden
Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)
It can start as soon as you can!
We are hiring a Deep Learning Engineer (Junior/Confirmed level) to join the Software as Medical Device (SaMD) squad.
At Implicity, we're transforming the management of cardiac conditions 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.
Contribute to 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 pipelines to leverage our database of over 100,000 patients.
Exploring the SNDS data via the Health Data Hub
Ensure the reproducibility, scientific correctness and transparency of each experiment, and medical relevance of our AI projects for both patients and caregivers
Collaborate with our Clinical team on scientific publications
As we are searching for a Junior / Confirmed Deep Learning Engineer:
Must have:
At least one experience ui Data Science or Deep Learning
Education: A Master's degree, Engineering degree, or PhD 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
Good understanding of self-supervised learning or generative modelling
Professional proficiency in French and English
Bonus points:
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 within the healthcare industry
Your growth is our priority: we strongly encourage you to apply even if your experience doesn't perfectly align with every point listed. We value diverse backgrounds, a growth mindset and passion for learning and contributing to our mission.
1st HR Contact with Astrid (Talent Acquisition Manager) – 45 min - G-meet
Job / Manager Interview with Marika (Data Scientist Manager) – 45 min - G-meet
Technical Interview with two members of the SaMD squad – 90 min - On-site
Vision Alignment with Alex (SaMD Product Manager) and Arnaud (CEO) – 1h - On-site
Reference Check & Offer (usually follows within 72 hours )
Depending on your availability, the recruitment process should last less than 3-4 weeks.
Salary
For this job (full-time), you have a base salary between €45-55k depending on your experience
Eligible for stock option (BSPCEs) according to the company's existing rules
Benefits
Health care plan: Alan (50% employer)
Luncheon voucher: 9€ (50% employer)
Transport: 50% of your pass OR sustainable mobility pass
Remote work & Location
3 days per week (progressively)
Location: 29 rue du Louvre, 75002, PARIS
