Senior Machine Learning Engineer
Paris office • FullTime
Posted 4h ago
Job Location
Paris office
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Nabla is seeking a Senior Machine Learning Engineer to join their team and play a key role in redefining clinicians' workflows and improving patient care through AI innovation. This role involves leading ambitious ML projects, contributing to the growth of the ML team, and enhancing R&D processes. You will work within a cross-functional squad, collaborating with experts to deliver impactful solutions and push the boundaries of AI in healthcare. Nabla is at an exciting stage of growth, backed by significant funding, and is looking for individuals passionate about leveraging AI to revolutionize the medical field.
Responsibilities
- Lead ambitious ML projects and collaborate with engineers to deliver impactful solutions.
- Redefine clinician workflows using AI to achieve transformative efficiencies and improve patient care.
- Propose and guide experiments, model architectures, and data-labeling strategies for speech-to-text, note generation, and normalization systems.
- Implement, train, and deploy models in production, ensuring scalability and robustness in a healthcare setting.
- Optimize R&D processes to enable rapid and confident model deployment.
- Stay current with AI research, share expertise, and foster technical growth within the team.
Requirements
- Extensive experience (5+ years) in training and deploying neural networks for real-world use cases.
- Strong leadership skills with proven ability to lead ML projects, collaborate across teams, and mentor junior engineers.
- Advanced Python coding skills, writing clean, production-ready code.
- A vision for AI in healthcare and a passion for redefining workflows and improving patient care.
- Fluent English communication skills.
- Broader software engineering experience (infrastructure, front-end, etc.) is a plus.
Benefits
- Stock ownership
- 100% healthcare coverage
- Meal vouchers
- Public transportation costs covered at 50%
- Exercise classes during the workday (Yoga, running, pilates, HIIT)
- Unlimited budget for book purchases
- Culture of trust & accountability