What you’ll do
At Doctolib, we're on a mission to transform how healthcare is delivered by harnessing the power of AI.
As a Senior/Staff Machine Learning Engineer, you’ll play a key role in designing, implementing, and scaling the evaluation framework that ensures our AI Health Companion behaves safely, reliably, and helpfully for millions of patients and practitioners.
You’ll join a cross-functional team of Machine Learning Engineers, Product Engineers, and Medical Experts to build robust evaluation pipelines for agentic AI systems — models capable of reasoning, planning, and interacting with complex healthcare data.
Define and own the evaluation strategy for our AI agentic system - metrics, protocols, datasets, and tooling
Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations
Run systematic experiments to assess reasoning, factuality, robustness, and user experience
Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement
Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices
About our tech environment
Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components
Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native
We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!
Who you are
Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.
MSc or PhD in Comput
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
