Machine Learning Engineer

About The Company

Doctolib is a leading healthcare technology company dedicated to improving access to healthcare services through innovative digital solutions. Operating across multiple healthcare specialties, Doctolib provides a comprehensive platform that supports web and mobile interfaces, facilitating seamless interactions between healthcare professionals and patients. The company's commitment to leveraging advanced AI and machine learning technologies aims to enhance clinical outcomes, optimize operational efficiency, and ensure compliance with healthcare regulations. With a strong focus on ethical AI deployment and user-centric design, Doctolib strives to transform healthcare delivery and make quality care accessible to all.

About The Role

We are seeking a highly experienced Principal Machine Learning Engineer to join our Data Science & AI organization at Doctolib. This pivotal role operates across all AI teams—Clinical, Productivity, Phone Assistant, and Automatic Speech Recognition—serving as a transversal force multiplier. Unlike traditional roles confined to a single feature team, this position entails ownership of cross-cutting technical challenges, including defining how our product and AI teams develop agentic solutions, standardizing ML evaluation frameworks, and propagating best engineering practices across the organization. The successful candidate will unblock teams, influence architecture decisions, and undertake deep technical work requiring senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and 80 million patients. Building at Doctolib means delivering innovative products that measurably improve healthcare outcomes for care teams and patients alike.

Qualifications

• 10+ years of experience in Machine Learning and Artificial Intelligence, with at least 3 years in a Senior or Principal role leading complex, multi-team initiatives
• Deep expertise in at least two of the following areas: clinical NLP, large language model (LLM) fine-tuning and evaluation, automatic speech recognition, retrieval-augmented generation (RAG) systems, or reinforcement learning
• Proficiency in Python, PyTorch/Transformers for training, and vLLM for inference, with a proven track record of deploying ML systems in production environments (AWS/GCP)
• PhD in Computer Science, AI, Statistics, or a related field, or equivalent research experience
• Exceptional communication skills, capable of aligning diverse stakeholders and explaining complex technical decisions clearly

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• Experience with healthcare data, clinical applications, and familiarity with EU healthcare regulations (GDPR, MDR, AI Act) is highly desirable
  
  

Responsibilities

• Own and guide cross-team machine learning architecture decisions, including model selection, deployment patterns, and strategic build versus buy choices
• Define and promote adoption of rigorous evaluation frameworks for AI models across all teams, setting standards for performance measurement and agentic evaluation
• Establish shared infrastructure patterns for AI development, including model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
• Lead the technical design of agentic AI solutions, shaping how product teams build on top of AI capabilities
• Mentor and influence senior ML engineers and technical leads, elevating engineering standards through architecture reviews and best practice dissemination
• Collaborate with Product, Legal, and Compliance teams to ensure safe, compliant rollout of AI solutions in line with EU regulations

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• Unblock technical challenges faced by teams, facilitate knowledge sharing, and advocate for scalable, maintainable AI systems
  
  

Benefits

• Comprehensive health insurance coverage for employees and their children
• 25 days of paid vacation annually, plus up to 14 days of RTT
• Free mental health and coaching services through Moka.care
• Flexibility to work from abroad for up to 10 days per year
• Lunch vouchers with Swile card (€8.50 value, with €4.50 covered by Doctolib)

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• Subsidies for sports club memberships or creative classes through Work Council
• 50% reimbursement of public transportation subscriptions
• Additional parental leave of one month beyond legal requirements under the Parent Care Program
• Support for caregivers and employees with disabilities, including remote work adaptations, extra medical leave, and psychological support
• Relocation assistance for international candidates
• Access to premium AI development tools and dedicated training programs
  
  

Equal Opportunity

At Doctolib, we are committed to fostering an inclusive and diverse work environment. We evaluate all candidates solely on their qualifications and motivation, regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. We believe that diverse perspectives drive innovation and improve healthcare for everyone. We encourage applicants to exclude personal information such as photographs and age from their applications and to inform us of any accommodations needed during the interview process. Join us in building a healthcare platform that is equitable, accessible, and transformative for all.