30 days ago
Paris, FranceSenior
Responsibilities
- Design and build production search and recommendation architecture across retrieval, ranking, and reranking pipelines.
- Use vector search, semantic retrieval, RAG, foundation models, and LLM or managed rerankers to improve patient-facing search relevance.
- Establish baselines, evaluation systems, observability, monitoring, and offline and online measurement at every pipeline stage.
- Create data and event feedback loops that support iteration and future machine-learning improvements.
- Own production quality, including latency, reliability, maintainability, and low-latency service performance.
- Partner with ML Engineers, product managers, and software engineers to define, build, and ship AI-powered features.
Requirements
- Significant experience as a Software Engineer and/or AI Engineer shipping search or recommendation systems to production.
- Ability to deploy algorithms to production using ECS-based services on AWS.
- Hands-on experience building end-to-end retrieval, ranking, and reranking pipelines.
- Familiarity with information-retrieval metrics including nDCG, MAP, Recall@k, and MRR.
- Proficiency turning foundation models and off-the-shelf components into production systems, including embeddings, vector search, semantic retrieval, RAG, and LLM-based or managed rerankers.
- Experience building offline and online evaluations, A/B tests, position-bias handling, monitoring, and data-quality processes.
- Ability to build reliable, maintainable services with latency in the hundreds-of-milliseconds range.
- Experience in a B2C marketplace, search engines, learning-to-rank, feature engineering, experimentation, causal inference, recommendation systems, pattern mining, healthcare, or regulated domains such as GDPR/HDS is preferred.
Benefits
- Permanent, full-time position in Levallois with an ASAP start date.
- Free comprehensive health insurance for employees and children.
- 25 days of paid vacation plus up to 14 days of RTT.
- Free mental health and coaching services through Moka.care.
- Ability to work from abroad for up to 10 days per year.
- €8.50 daily lunch vouchers through Swile, with €4.50 covered by Doctolib.
- Work-council subsidy for sport-club or creative-class memberships.
- 50% reimbursement of public transport subscriptions.
- Enrollment in the DoctoGrowth long-term employee value-sharing plan.
- ParentCare birth-leave salary coverage of 100% during the first month and 75% during the second month.
- Additional support for caregivers and workers with disabilities, including remote-policy adaptations, medical leave, and psychological support.
Tech Stack
Categories
About Doctolib
We’re a B Corp company committed to build together the healthcare we all dream of. More than 2,900 Doctolibers in France, Germany, Italy, and the Netherlands are helping to improve the daily lives of care teams with a new generation of technologies and services. At the same time, Doctolib is helping over 80 million patients to effectively manage their health and provide quick and easy access to optimal healthcare.