[Data - FR] Senior Machine Learning Engineer - Orchestration Neu

# Senior Machine Learning Engineer

Si vous souhaitez en savoir un peu plus sur cette opportunité, ou si vous envisagez de postuler, veuillez lire les informations suivantes sur le poste.
- Orchestration
- Applied AI & LLMs (x/f/m)Unlimited ContractParisEngineeringZu den Suchergebnissen## Über DoctolibBei Doctolib gestalten wir das Gesundheitswesen neu.

Täglich vertrauen uns 570.000 Gesundheitsfachkräfte und über 90 Millionen Patient:innen, um ihre Arbeit besser zu machen und gesünder zu leben.Mehr als 3.000 Doctoliber in Frankreich, Deutschland, Italien, UK und den Niederlanden bauen die nächste Generation von Health-Tech.

KI ist dabei kein Add-on, sondern der Kern unseres Produkts und unserer DNA.

Wir fördern eine Kultur, in der jede:r täglich mit KI arbeitet, um schneller und besser zu werden und echten Impact zu erzielen.## Stellenbeschreibung## Set a new pulse for healthcareWe 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 doYour 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 areBefore 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
* Parent Care Program: receive one additional month of leave on top of the legal parental leave
* 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