Posted Aug 5•Paris, Paris, France
Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m)
SeniorOn-site (Paris)€88,000 – €116,000 / yr
Required Skills
TypeScriptPythonJavaKotlinSwiftReactRuby on RailsMachine LearningLLMs / Generative AIReact Native
Job Description
Set a new pulse for healthcare!
We are looking for a Senior Machine Learning Engineer to join the Orchestration team in AI Health Assistant.
Your mission will be to ensure our AI Health Companion behaves safely, reliably, and helpfully — for millions of patients and practitioners. You will work in a cross-functional team building robust evaluation pipelines for agentic AI systems, contributing directly to improving the quality and safety of AI-powered healthcare.
Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
What you'll do
Your responsibilities include but are not limited to:
- 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
Life at Doctolib Tech
- Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
- 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.
Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.
Who you are
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