YOUR IMPACT

We are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions.

Your mission will be to improve how people access quality care and manage their health over time by building and leading AI and ML

systems that create real, measurable impact. You will work in a feature team developing intelligent patient-facing solutions, from

smart practitioner discovery to long-term care management, playing a key technical role in shaping how we scale our AI

capabilities across Europe.

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:

Design and implement ML and AI solutions aligned with patient product goals, covering search, retrieval, and personalized care

pathways

Build and maintain large-scale retrieval pipelines, including hybrid search, embedding systems, vector databases, and

multi-stage re-ranking architectures

Develop, fine-tune, and evaluate LLM and VLM models using techniques such as knowledge distillation, Mixture-of-Experts (MoE)

architectures, and prompt engineering

Build and orchestrate agentic AI systems, integrating external data and capabilities through tools and MCP-based integrations
Define metrics aligned with product goals, run controlled end-to-end experiments using W&B, MLFlow, or Braintrust, and

communicate findings to guide product and technical decisions

Deploy solutions to production in collaboration with our ML platform team, ensuring reliability, observability, and performance

at scale, and act as a technical reference to elevate the team's standards and practices

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:

You have 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering, with a strong track record of taking

models from prototype to production at scale

You have strong experience in Information Retrieval and modern retrieval stacks: hybrid search (sparse + dense), large-scale

embeddings and vector databases, multi-stage retrieval and re-ranking pipelines, RAG architectures, and tool/MCP-based

integrations

You are proficient in LLM and VLM application development: fine-tuning, MoE architectures (via LiteLLM or Model Garden),

knowledge distillation, prompt engineering, and systematic benchmarking of LLM/VLM systems

You have hands-on experience building and orchestrating agentic AI systems (e.g., using ADK)
You demonstrate strong scientific rigor: designing metrics aligned with product goals, running controlled experiments, and

communicating results clearly to both product and engineering stakeholders

You have experience operating large-scale applications in production (monitoring, reliability, performance, observability),

bring strong analytical skills, and approach your work with a user-first mindset. You are fluent in English

It would be fantastic if you:

Have experience in B2C marketplace environments
Have experience in other ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference

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
Full-time
Location: Doctolib Paris office in Levallois-Perret
Hybrid work setup (3 days/week in the office)
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.

Roll

Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)

Kategori

Data/IT

Plats

Paris

Publicerad

16 juli

Sista ansökningsdag

16 augusti

Liknande jobb

Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m)

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Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. 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. 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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.

Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)

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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 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 with Swile card (€8.50 value, €4.50 covered by Doctolib) * Work Council subsidy for sports club memberships or creative classes * 50% reimbursement of your public transport subscription * Parent Care Program: one additional month of leave on top of legal parental leave * For caregivers and workers with disabilities: remote policy adaptation, extra medical leave, and psychological support * Relocation support for international mobility * Access to premium AI tools for development and dedicated training The interview process * HR Screen * Hiring Manager Interview * Technical Interview * Technical Case Study * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more on our candidate experience page. Job details * Permanent position * Full-time * Paris, France * Hybrid work mode (up to 2 remote days per week) * Start date: as soon as possible We welcome everyone At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. We respect and celebrate diversity! The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you have a disability, let us know if there's any way we can make the interview process smoother for you! Join us in building the healthcare we all dream of. Your data privacy All information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click here. For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com.

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

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Paris•Publicerad: 16 juli•Sista ansökan: 16 aug.

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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. * *