Senior 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 Senior 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 Machine Learning Engineers, software engineers, ML ops 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 Senior Machine Learning Engineer to join our Machine Learning Engineer 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 7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale. Have deep 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 Tool- 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 WB, MLFlow or Braintrust Analysing 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 Technical Deep Dive System Design Behavioral Interview at least one Reference check 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 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 healthc ... (truncated, view full listing at source)