Deep Learning Engineer

Implicity is a digital MedTech bringing innovations to cardiologists through Big Data and AI. We are hiring a Deep Learning Engineer (Junior/Confirmed level) to join the Software as Medical Device (SaMD) squad. Our squad is building, deploying and maintaining advanced solutions that empower healthcare professionals, optimise their workflows, and ultimately improve patient lives.

Responsibilities

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; Develop Self-Supervised Learning pipelines to leverage the database of over 100,000 patients; Explore SNDS data via the Health Data Hub; Ensure reproducibility, scientific correctness and transparency of each experiment and medical relevance of AI projects; Collaborate with the Clinical team on scientific publications

Requirements

At least one experience in Data Science or Deep Learning; 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

Nice to have

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

Benefits

Health care plan: Alan (50% employer); Luncheon voucher: 9€ (50% employer); Transport: 50% of your pass OR sustainable mobility pass; Eligible for stock option (BSPCEs) according to the company's existing rules; Remote work: 3 days per week (progressively)