3 months ago
Paris, FranceSenior
Responsibilities
- Design and implement ML and AI solutions for search, retrieval, and personalized care pathways.
- Build and maintain large-scale retrieval pipelines with hybrid search, embedding systems, vector databases, and multi-stage re-ranking architectures.
- Develop, fine-tune, and evaluate LLM and VLM models using knowledge distillation, Mixture-of-Experts architectures, and prompt engineering.
- Build and orchestrate agentic AI systems that integrate external data and capabilities through tools and MCP-based integrations.
- Define product-aligned metrics and run controlled end-to-end experiments using W&B, MLFlow, or Braintrust.
- Deploy solutions to production with the ML platform team while ensuring reliability, observability, and performance at scale.
- Act as a technical reference and elevate team engineering standards and practices.
Requirements
- At least 7 years of experience in machine learning, deep learning, or AI engineering.
- Strong experience taking models from prototype to production at scale.
- Hands-on expertise in information retrieval, hybrid search, embeddings, vector databases, multi-stage retrieval, re-ranking, RAG architectures, and tool/MCP-based integrations.
- Proficiency in LLM and VLM application development, including fine-tuning, Mixture-of-Experts architectures, knowledge distillation, prompt engineering, and systematic benchmarking.
- Experience building and orchestrating agentic AI systems, such as with ADK.
- Experience defining product-aligned metrics, running controlled experiments, and communicating results to product and engineering stakeholders.
- Experience operating large-scale production applications, including monitoring, reliability, performance, and observability.
- Fluent English communication skills.
- Experience in B2C marketplace environments is preferred.
- Experience with pattern mining, recommendation systems, experimentation, or causal inference is preferred.
Benefits
- Permanent, full-time position in Levallois-Perret, France
- Hybrid work setup with 3 days per week in the office
- Start date as soon as possible
- Free comprehensive health insurance for the employee and children
- 25 days of paid vacation plus up to 14 days of RTT
- Free mental health and coaching services through Moka.care
- Work from abroad for up to 10 days per year
- €8.50 daily lunch vouchers, with €4.50 covered by Doctolib
- Work council subsidy for sport club or creative class membership
- 50% reimbursement of public transport subscription
- Parent Care Program with one additional month of leave
- Enrollment in the DoctoGrowth long-term employee value-sharing plan
- Support package for caregivers and workers with disabilities
- Relocation support for international mobility
- Access to AI coding tools, development resources, and dedicated training
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.