What you’ll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Machine Learning Engineer, you'll play a critical role in developing and implementing cutting-edge AI solutions that will simplify the access and quality of care for all.

In this role, you'll have the opportunity to work with a team of talented ML Engineers, Software Engineers, MLOps and Healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.

You will work at simplifying how patients find their healthcare practitioner, handle their care plan in the long term and work with business team to contribute expansion of Doctolib in several new markets.

Doctolib is looking for a Machine Learning Engineer to join our ML Engineering team in charge of our patient solutions.

Your responsibilities include but are not limited to:

Find the right technical solution to solve the product domain goals
Implement your ideas and test them
Deploy your algorithms in production guided by our ML platform team
Measure the uplift and continuously improve your approach

Who you are

You could be our next team mate if you:

Have strong analytical skills, are result oriented and user first
Have between 3/7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale.
Have experience in Information Retrieval and modern retrieval stacks, including some of the following:
- Hybrid search (sparse + dense)
- Large-scale embeddings and vector databases
- Multi-stage retrieval and re-ranking pipelines
- RAG architectures and retrieval pipelines on multimodal use cases
- Tools and MCP-based integrations to bring in external data and capabilities

Proficient in LLM/VLM application development, including:
- Fine-tuning LLM and VLM models
- Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden)
- Knowledge Distillation
- Prompt engineering and tool use
- Evaluation and benchmarking of LLM/VLM systems

Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK).
Have demonstrated strong scientific rigor and benchmarking skills:
- Designing metrics aligned with product goals,
- Running controlled end to end experiments with W&B, MLFlow or Braintrust
- Analyzing and communicating results to guide product and technical decisions.

Have experience with large scale applications in production (monitoring, reliability, performance, observability).

Now, it would be fantastic if you:

Have experience in B2C marketplace.
Have experience in other ML methodologies : pattern mining, recommendation, experimentation or causal inference.

What we offer

Free 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
Coding Interview
System Design Interview
Behavioral Interview
Two reference calls and criminal records check

Job details

Permanent position
Full Time
Location: Doctolib Paris office in Levallois Perret
Work mode: Hybrid 3 days/week in the office
Start date: ASAP

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.