Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)

What you’ll do

We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike.

Technical Strategy & Architecture

• Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions
• Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance
• Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
• Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities
• Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation
• Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act)

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'll be a great fit if:

• You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
• You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
• You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP)
• You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
• You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

Now it would be fantastic if you have:

• Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues
• Experience with EU healthcare regulations (GDPR, MDR, AI Act)
• Prior work with clinical data or healthcare applications

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties.
• Our stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically to empower patients and professionals. Discover our AI vision here .

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site .

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

The interview process

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

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