Job
In this role, you will define the architecture for machine learning solutions, build evaluation frameworks, provide technical support for AI teams, and promote best engineering practices across the organization.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib.
- This is a cross-functional 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.
- 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).
Our expectations of you
Qualifications
- You have deep expertise in at least two of the following areas: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning.
- You are an expert in Python and PyTorch/Transformers for training, and vLLM for inference, with a track record of deploying ML systems in production (AWS/GCP).
- You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions.
- It would be fantastic if you have publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues.
- Prior work with clinical data or healthcare applications is beneficial.
Experience
- You'll be a great fit if you have 10+ years of experience in ML/AI, including 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives.
- You have a PhD in Computer Science, AI, Statistics, or a related field (or equivalent research experience).
- Experience with EU healthcare regulations (GDPR, MDR, AI Act) is a plus.
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% during the probationary period).
- The Doctolib Parent Care program, which includes one month of additional parental leave and much more.
- Enrollment in Doctolib's long-term employee value-sharing plan, 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 modes.
- Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit.
- For caregivers and employees with disabilities, a package that includes adjustments to the remote work policy, additional 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 specialized training.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Doctolib is an innovative company in the digital health sector that offers a platform for organizing medical appointments. It supports both doctors and patients in optimizing the appointment management process and improving communication.
- Startup
- Hybrid, Onsite
- Healthcare, Social Sector
More jobs
These jobs might also interest you
sino AG, based in downtown Düsseldorf, has been an innovative financial service provider for over 25 years. We specialize in the execution of securities transactions for the most active and demanding traders in Germany. With currently 26 employees, we...
You actively shape the technical development of our software products and influence their long-term architecture. You develop our core applications primarily using C# as the central programming language and technological foundation. You design, develop,...
As a Senior Software Engineer (m/f/d), you will take on a central technical role in challenging client projects and develop sustainable, scalable software solutions in complex enterprise environments. In your role, you will primarily be responsible for:...
