Deep Learning Engineer Intern
About us
đ 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, itâs 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, youâll 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
🏆 Doctorsâ 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!
Want more infos?!
Our website:
Our team:
Our other opening jobs:
Our cool grade on Glassdoor:
Our $23M Series A last January 2022:
A cool article by La Tribune:
And finally, 2 interviews of our CEO Arnaud Rosier:
Job and recruitment context
âď¸ Opening line âď¸
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.
Your mission:
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.
It includes:
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).
Must have:
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
Bonus points:
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
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.
This isn't a "shadowing" internship. You will be a full member of the SaMD squad, working on real-world medical data with a high degree of autonomy and expert mentorship.
Recruitment process
HR discovery call (G-meet): 20-30 min with our Talent Acquisition team
Technical interview (on site): 90 min with two members of the SaMD squad including your future mentor
Offer and alignement on start dates and expectations
We move fast when we find the right fit 🚀
Ready to make a meaningful impact? Apply now!
General information
💰 Salary
For this internship, you have a fixed monthly gratification of 1200âŹ
👍 Benefits
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
📍 Remote work & Location
Up to 3 days per week (progressively)
Location: 29 rue du Louvre, 75002, PARIS
Why us?
Simply because you will get all Scale-Up advantages without the usual drawbacks!
Activity: we are a âpurpose companyâ - that really drives everyoneâs daily motivation and commitment
Solution: we built a best-in-class solution, that has no direct competitor
Growth stage: we are not small - we are not big - +100 people => our boom is to come
International: we operate at a global level, and our working language is English
Values: we do have values, and these are not just for posters!
Integrity: we act with honesty and fairness
Ambition: we strive for excellence in a healthcare demanding environment
Cooperation: we care, we support, we seek collective success
Autonomy: youâll definitely get real responsibilities, and have the chance to have impact
Employee care:
Our beautiful office is ârue du Louvreâ (between Chatelet & Bourse)
Regular team events, especially every Thursday evenings
Tools: we use Slack, Notion and Drive, and it is pretty cool
Worklife balance: we are definitely respectful & remote friendly
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