Machine Learning Engineer - AI Teams (x/f/m)

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