Job Description

What you’ll do

As a Senior Staff Machine Learning Engineer at Medical Practice Efficiency team, your mission will be to lead the technical direction for AI systems that streamline healthcare operations, helping healthcare professionals save time and focus on patient care. Including agentic phone assistants, ML/LLM-based scheduling optimization, automated billing, and personal assistants that support healthcare professionals in using Doctolib software.

You'll design and ship production Agentic/LLM/ML systems (and associated evaluation) that handle millions of healthcare interactions daily, balancing innovation with the operational rigor required in healthcare. This role emphasizes AI production excellence: building robust, reliable models and establishing quality standards that enable safe, rapid deployment.

Your responsibilities include but are not limited to:

Technical Strategy & Platform

• Own the long-term technical roadmap for medical practice efficiency systems
• Drive build vs. buy decisions for model capabilities, balancing custom development with foundation model APIs
• Define patterns for production deployment: evaluation standards, monitoring, A/B testing, and safe rollout in healthcare contexts

End-to-End ML Delivery

• Lead design and implementation of high-impact models: LLM-powered phone/chat assistants, billing automation, intelligent search and ranking, appointment optimization
• Ship production models with robust evaluation, monitoring, drift detection, and incident response
• Establish rigorous offline/online metrics and experimentation frameworks that measure real business impact and clinical safety

Leadership & Responsible AI

• Mentor Staff/Senior ML Engineers, setting standards for model quality, evaluation rigor, and production best practices
• Partner with Product, Legal, and Compliance to ensure models meet privacy, security, and regulatory requirements G eneral Data Protection Regulation (GDPR), data minimization, bias testing)
• Lead cross-functional initiatives from discovery to production, influencing roadmaps and unblocking technical execution

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.

• You have 10+ years in ML/AI/large-scale systems with 3+ years at Staff+ or Principal level leading complex, cross-team initiatives
• You have deep expertise in at least two of: production NLP systems (entity recognition, classification, information extraction), LLM evaluation and fine-tuning for production use cases, search/ranking/recommendation systems, or trust & safety / anomaly detection
• You are expert in Python, PyTorch/Transformers, and modern ML infrastructure (feature stores, model serving, monitoring)
• You have production experience with cloud platforms (AWS/GCP) and strong understanding of service level agreements (SLAs), cost optimization, and operational excellence
• You have exceptional communication and cross-functional leadership skills

Now it would be fantastic if you have:

• PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
• Experience with LLM guardrails, retrieval‑augmented generation (RAG) systems, and cost/performance optimization for production deployments
• Prior work in regulated environments (healthcare, finance) or privacy-sensitive domains, Familiarity with General Data Protection Regulation (GDPR), data governance best practices, and EU healthcare regulations

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• Lunch voucher with Swile card

The interview process

• HR Screen
• Hiring Manager Interview
• Behavioral Interview
• Technical Questions
• Technical Case Study
• At least one reference check

Job details

• Permanent position
• Full-time
• Hybrid work mode (3 days/week in the office)
• Paris, France
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles !

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

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Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.