Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m)
At a glance
Senior Machine Learning Engineering role at Doctolib. Levallois-Perret · contract.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set the evaluation approach for the AI agent, including measures, test methods, datasets and tools
- Build and keep automated checks running to track model quality, safety and alignment over successive versions
- Design experiments that probe reasoning, factual accuracy, robustness and user experience
- Share findings with model developers and research scientists to guide improvements
- Contribute evaluation research and internal guidance on methods for assessing large language models
What you bring
- An MSc or PhD in computer science, machine learning, data science or a related discipline
- At least seven years of practical work with large language models such as GPT, Claude or another listed architecture
- Demonstrated evaluation work on agentic or reasoning systems, plus strength in experiment design, metrics and automation
- Fluent English and the ability to connect research findings with production and product decisions
Who this fits
This senior role suits an experienced machine learning engineer focused on evaluating language-model agents and translating research into production improvements. The position is full-time and hybrid in Levallois-Perret, with up to two remote days per week.
From the employer
Set a new pulse for healthcare!
We are looking for a Senior Machine Learning Engineer to join the Orchestration team in AI Health Assistant.
Your mission will be to ensure our AI Health Companion behaves safely, reliably, and helpfully — for millions of patients and practitioners. You will work in a cross-functional team building robust evaluation pipelines for agentic AI systems, contributing directly to improving the quality and safety of AI-powered healthcare.
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:
Define and own the evaluation strategy for our AI agentic system — metrics, protocols, datasets, and tooling
Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations
Run systematic experiments to assess reasoning, factuality, robustness, and user experience
Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement
Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices
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.
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:
Hold an MSc or PhD in Computer Science, Machine Learning, Data Science, or a related field
Have 7+ years of hands-on experience working with large language models (e.g., GPT, Claude, Llama, or BERT-like architectures)
Have proven experience evaluating agentic or reasoning systems (e.g., autonomous agents, tool-using LLMs, dialogue systems, or task-oriented assistants)
Have a strong track record in experiment design, metric definition, and evaluation automation
Are able to bridge research and production, influencing both modeling and product decisions
Have excellent communication skills, a collaborative mindset, and are fluent in English
It would be fantastic if you:
Have experience in the clinical or medical domain and sensitivity to ethical or regulatory challenges in healthcare AI
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
Technical Deep Dive
Data System Design
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
Hybrid in our Levallois-Perret office (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.