✨ YOUR ROLE & RESPONSIBILITIES

To support our growth, we are looking for talented and motivated team members strongly willing to build the future of health with us. As a Senior MLE part of the Science team, you will work closely with your peers as well as with members of the product, business, and engineering teams. In an environment where technology and digital haven’t played all their cards yet, your work will directly contribute to shaping platforms that benefit patients, clinicians, and biologists; and has the potential to change healthcare fundamentally. Your role and responsibilities will be to:

• Build machine learning and deep learning algorithms leveraging hundreds of millions of test results to drive patients to better healthcare.

• Drive the development of user-facing features leveraging the power of machine learning and deep learning, to enable patients to take back control of their medical journey.

• Play a key role in deploying machine learning and deep learning algorithms to production.

• Design and implement robust model evaluation pipelines for benchmarking models, including performance metrics and trade-off analysis

• Proactively engage with data to identify, pursue, and maximize research, business, and product opportunities.

• Ensure reproducibility and sustainable quality of your work through clean code and proper documentation.

• Keep yourself up-to-date with the latest machine learning and deep learning advancements.

• Master’s degree in a scientific field (Engineering, Math, Physics, Computer Science, Machine Learning…) and at least 5 years of work experience

• Advanced skills in statistics, probabilistic modeling and the core concepts of Machine Learning

• Hands-on experience in LLM fine-tuning (LoRA, QLoRA, DPO, quantization), RAG pipelines, and deploying scalable AI solutions

• Quick adaptation to new situations and problems with a strong learning mindset.

• Driven individual contributor that not only works effectively within a team, balancing learning and delivery commitments, but also influences the team contributions, through mentoring of less senior team members.

• Have a great team spirit; demonstrate proficiency in recognizing and building upon your teammates’ ideas, while constructively challenging them when appropriate.

• Full professional working proficiency in French and English,

• Nice-to-have: experience in a healthcare /MedTech field

1. Screening Call – An initial conversation to understand your background and see if there’s a good fit.

2. Technical Interview – A discussion with our team to review a take-home test you will do, and dive deeper into your expertise.

3. Cultural Fit Interviews – Two interviews to ensure alignment with our values and team dynamics.

4. CEO Interview – A conversation with our CEO