Careers at Doctolib

Your Impact We are looking for a Staff Site Reliability Engineer to join our SRE team dedicated to platform reliability within Platform Engineering. Your mission will be to act as a technical leader driving Doctolib's reliability and scalability at a European scale, ensuring our platform remains reliable, debuggable, and resilient across infrastructure, observability, and cross-cutting reliability initiatives. You will play a pivotal role in a team driving reliability standards across 170+ applications, contributing directly to supporting 520,000 health professionals and 90 million patients in their daily healthcare journey. This role sits at the intersection of infrastructure, developer experience, and product engineering. You'll act as a technical leader and strategic partner to SREs, software engineers, and product teams, guiding decisions, mentoring engineers, and driving cross-cutting initiatives that elevate our operational maturity. What you'll do Your responsibilities include but are not limited to: Lead large-scale cross-cutting reliability initiatives across the platform, spanning infrastructure automation, observability, and incident management Identify and drive improvements to incident detection, response, and postmortem analysis capabilities Define and evolve SLOs, error budgets, and alerting standards across multiple product teams Take part in the on-call rotation, and actively contribute to improving our on-call experience by refining alerting, reducing noise, and ensuring actionable telemetry Serve as a mentor and technical coach to senior engineers, helping elevate the craft of reliability engineering across the company Influence strategic decisions by providing technical guidance to leadership and representing reliability engineering in architectural reviews and platform discussions Partner with software engineering teams to embed reliability practices early in the development lifecycle Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have extensive experience (8+ years) in SRE, platform engineering, or infrastructure roles within a large-scale, multi-team production environment Have proven experience with cloud platforms such as AWS, GCP, or Azure Have strong experience with containerization and orchestration technologies, Kubernetes is a must, its deployment and scaling strategies ecosystem Have implemented and operated SLIs, SLOs, and error budgets in production Have experience managing on-call rotations and leading incident response in high-stakes environments Have a strong systems engineering background with fluency in at least one backend programming language (e.g., Go, Python, Ruby) Have a proven ability to lead through influence: setting technical direction, driving consensus, and mentoring engineers across teams Are comfortable balancing long-term architecture work with fast, iterative improvements Have clear, concise communication skills, both written and verbal, with the ability to drive alignment in ambiguous environments Partner with feature teams to accelerate their production readiness, providing hands-on guidance on reliability best practices, launch reviews, and operational standards before go-live Are fluent in English It would be fantastic if you: Have deep expertise in observability tooling and architecture (logging, tracing, metrics) Have experience designing and operating high-scale telemetry pipelines and working with developers to improve instrumentation quality Appreciate working in regulated environments, healthcare, fintech, or similar; at Doctolib, data privacy and compliance are part of every engineering decision Care about reliability enablement, golden paths, runbooks, shared libraries Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) Work from abroad for up to 10 days per year thanks to our flexibility days policy Company health insurance with great supplementary benefits through our partner Allianz Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) The Doctolib Parent Care program, which includes one month additional parental leave and much more Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth Free mental health and coaching services through our partner Moka.care Subsidized sports membership through our partner Urban Sports Club A flexible workplace policy offering both hybrid and office-based mode Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process Recruiter Interview System Design Interview Technical SRE Interview Behavioral Interview At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Kubernetes, Terraform, AWS / GCP, Prometheus, OpenTelemetry, Datadog, ArgoCD Full-time Berlin, Germany Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone 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, or 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! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: Germany | France | Italy | Netherlands . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Join our mission, join Doctolib! We are looking for a Senior AI Engineer to join the Patient team in Paris. The Patient domain sits at the heart of Doctolib's mission: ensuring everyone has better access to the care they need, receives better care from health professionals, and can actively prevent health problems to improve their wellbeing. You’ll design the search and recommendation engines behind our health companion, helping 100M patients across Europe instantly navigate to the exact care they need while delivering trusted, curated insights at every step. The retrieval and recommendation architecture you own will directly shape how relevant, fast, and trustworthy that experience is for every one of them. Your responsibilities include but are not limited to: Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers). Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML. Build evaluation and observability into every stage, with offline and online evaluation. Set up the data/event feedback loops that drive iteration and feed deeper ML later. Improve search relevance and ranking on Patient facing products , raising result quality Own production quality: latency reliability, monitoring, and maintainability. Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business. Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You could be our next team mate if you have: Production deployment : ability to ship algorithms to production (ECS-based service on AWS) Strong analytical mindset: r esult-oriented, patient-first approach Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production. Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR AI-engineering proficiency : turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch Architecture-first approach : you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability Now, it would be fantastic if you: Experience at a B2C marketplace (e-commerce, hospitality, travel) Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference Have experience with search engines or information retrieval concepts Have exposure to learning-to-rank or feature engineering (for breaking ceilings later, alongside ML Engineers) Have experience in a healthcare or other regulated domain (GDPR / HDS) Life at Doctolib Tech Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . We also invest in open, applied AI research. For example, our DoctoBERT project introduces open-source medical language models trained for French clinical text, with applications in named entity recognition, classification, and retrieval. Read the DoctoBERT practical guide to learn more about how we bring deep AI research into practical healthcare applications. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support The interview process A first interview with a member of the Talent Acquisition team A coding interview An agentics system design A behavioural interview Reference check Job details Permanent position Full Time Workplace: Levallois Start date : As soon as possible 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! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands . Please contact hr.dataprivacy(at)doctolib.com to exercise your rights.

Set a new pulse for healthcare! We are looking for a Senior Software Engineer to join the DIAL team in the Phone Assistant domain. Your mission will be to design, build, and scale the AI-powered features that transform how practitioners and patients connect over the phone — making care more accessible for patients and reducing administrative burden for health professionals. You will work in a feature team developing the Phone Assistant, Doctolib's solution that combines LLM reasoning, speech recognition, and real-time backend systems, launching first in Germany and expanding to France and Italy. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Build and operate backend services in Node.js/TypeScript (with Python exposure), designing for reliability, scalability, and real-time performance Design, evaluate, and ship LLM-based features end-to-end: prompt engineering, tool calling, structured outputs, guardrails, and fallback strategies Own AI feature quality: build evaluation datasets and scorers (e.g., in Braintrust), track regressions, and make evidence-based ship decisions before each release Deploy and operate cloud-native services on Kubernetes across major cloud providers (AWS/Azure/GCP), and evolve CI/CD pipelines with GitHub Actions Design data models and drive database migrations and performance tuning for real-time workloads ( PostgreSQL : connection pooling, indexing, query optimisation) Maintain a high testing bar (unit, integration, e2e), debug distributed systems in production with strong observability, and contribute to pragmatic, secure architecture decisions Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have 5+ years of backend engineering experience building scalable, resilient systems in Node.js/TypeScript (with some Python) Have hands-on production experience building LLM-based features: prompting, tool calling, structured outputs, eval frameworks, and handling real-world failure modes Have proven experience deploying and operating services on Kubernetes within at least one major cloud provider (AWS, Azure, or GCP), with solid CI/CD practices Have a strong testing culture (unit/integration/e2e), sharp debugging skills for microservices and distributed systems, and a focus on code quality Are fluent in English, with a collaborative mindset and the drive to own problems end-to-end — from design to production It would be fantastic if you: Have experience with speech pipelines (ASR, TTS, streaming audio) or voice agents Are familiar with event-driven architectures and message brokers (Kafka, RabbitMQ, NATS, or Redis Streams), and have hands-on PostgreSQL experience (EXPLAIN/ANALYZE, indexing strategies, connection pooling) Have an interest in telephony and real-time communication (SIP, RTP, WebRTC) — no prior experience needed, we will teach you Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) Work from abroad for up to 10 days per year thanks to our flexibility days policy Company health insurance with great supplementary benefits through our partner Allianz Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) The Doctolib Parent Care program, which includes one month additional parental leave and much more Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth Free mental health and coaching services through our partner Moka.care Subsidized sports membership through our partner Urban Sports Club A flexible workplace policy offering both hybrid and office-based mode Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process Recruiter Interview Live Coding Interview System Design Interview Behavioral Interview At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Node.js/TypeScript, Python, Kubernetes, AWS/Azure/GCP, PostgreSQL Full-time Berlin Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone 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, or 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! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: Germany | France | Italy | Netherlands . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Join our mission, join Doctolib! We are looking for a Senior AI Engineer to join the Patient team in Paris. The Patient domain sits at the heart of Doctolib's mission: ensuring everyone has better access to the care they need, receives better care from health professionals, and can actively prevent health problems to improve their wellbeing. You’ll design the search and recommendation engines behind our health companion, helping 100M patients across Europe instantly navigate to the exact care they need while delivering trusted, curated insights at every step. The retrieval and recommendation architecture you own will directly shape how relevant, fast, and trustworthy that experience is for every one of them. Your responsibilities include but are not limited to: Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers). Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML. Build evaluation and observability into every stage, with offline and online evaluation. Set up the data/event feedback loops that drive iteration and feed deeper ML later. Improve search relevance and ranking on Patient facing products , raising result quality Own production quality: latency reliability, monitoring, and maintainability. Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business. Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You could be our next team mate if you have: Production deployment : ability to ship algorithms to production (ECS-based service on AWS) Strong analytical mindset: r esult-oriented, patient-first approach Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production. Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR AI-engineering proficiency : turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch Architecture-first approach : you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability Now, it would be fantastic if you: Experience at a B2C marketplace (e-commerce, hospitality, travel) Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference Have experience with search engines or information retrieval concepts Have exposure to learning-to-rank or feature engineering (for breaking ceilings later, alongside ML Engineers) Have experience in a healthcare or other regulated domain (GDPR / HDS) Life at Doctolib Tech Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . We also invest in open, applied AI research. For example, our DoctoBERT project introduces open-source medical language models trained for French clinical text, with applications in named entity recognition, classification, and retrieval. Read the DoctoBERT practical guide to learn more about how we bring deep AI research into practical healthcare applications. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support The interview process A first interview with a member of the Talent Acquisition team A coding interview An agentics system design A behavioural interview Reference check Job details Permanent position Full Time Workplace: Levallois Start date : As soon as possible 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! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands . Please contact hr.dataprivacy(at)doctolib.com to exercise your rights.

Set a new pulse for healthcare! We are looking for a Platform Security Engineer to join the Security team at Doctolib. Your mission will be to protect sensitive healthcare data while enabling rapid, secure innovation. You will be responsible for securing Doctolib's cloud infrastructure and application ecosystem, combining multi-cloud security expertise with hands-on platform engineering — contributing directly to the safety of millions of patients and care teams who rely on our platform every day. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Own a platform security workstream end to end, from architecture to enforcement: scope it with your tech lead, design the control, roll it out progressively (report-only, then enforce), handle exceptions, and see it through to full coverage. Typical examples: hardening IAM across our AWS accounts, tightening cluster admission policies, or closing a class of misconfiguration for good. Ship every change as code: Terraform and GitHub pull requests, peer-reviewed and always reversible. No console clicking, no undocumented state. Harden our cloud and infrastructure baseline and keep it hardened: IAM permissions and access reviews, secrets management, network and cluster guardrails, CI/CD and supply chain controls — building the guardrails and driving remediation of what they surface with platform and engineering teams, turning recurring findings into automation rather than tickets. Investigate and improve: lead incident investigations on the platform perimeter end to end, and continuously improve detection rules and response playbooks in our Elastic SIEM. Work in the open: write clear technical notes, drive adoption of your changes with the engineering teams they affect, and grow through code review and pairing with the rest of the team. Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have 1 to 3 years of hands-on experience in security engineering, security operations, SRE, infrastructure or platform engineering, including some exposure to a cloud environment (AWS, GCP or Azure) in production — an internship or apprenticeship in one of those roles counts. Work daily with infrastructure as code and GitHub: you have written and shipped your own Terraform through reviewed pull requests, and you are comfortable operating and debugging workloads on Kubernetes. Use AI coding assistants (Claude or equivalent) as a normal part of how you work. Have carried at least one project through to production — security or not — and stayed with it past the first deployment until it was actually adopted. Have solid fundamentals: Linux, networking, cloud, Kubernetes and development/scripting, a pragmatic mindset, the ability to make decisions under uncertainty and follow through, and strong written communication skills — you can carry a proposal from draft to cross-team adoption. Are fluent in English (working language in writing); daily team conversations happen mostly in French, so being a French speaker or willing to learn is a strong plus. It would be fantastic if you: Have worked with a SIEM (Elastic, Splunk, or equivalent), writing and tuning your own queries. Have done detection engineering, incident response, threat hunting, or CTFs. Can point to public write-ups, open-source contributions, or a home lab. Have prior experience in a regulated industry (healthcare, fintech, or public sector). Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process Recruiter Interview Feature Building Interview System Design Interview Behavioral Interview At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Terraform, AWS, Kubernetes, Elastic SIEM Full-time Levallois-Perret, France Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone 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, or 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! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: France . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

What you’ll do We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role combines deep R&D with strategic technical leadership , shaping how Doctolib deploys AI in regulated healthcare environments. Your responsibilities include but are not limited to: Technical Strategy & Architecture Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows End-to-End ML Delivery Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations) Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction Leadership & Impact Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams Translate clinical needs into research questions and production systems that measurably improve patient outcomes Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards. Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP) You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues Experience with EU healthcare regulations (GDPR, MDR, AI Act) Prior work with clinical data or healthcare applications What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training The interview process HR Screen Hiring Manager Interview Behavioral Interview Technical Questions Technical Case Study At least one reference check Job details Permanent position Full-time Hybrid work mode (3 days/week in the office) Paris, France Start date: as soon as possible 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 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! All information provided is processed by Doctolib for application management. For data processing details, click here . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.