Senior Machine Learning Engineer - Medical Reasoning - ai Teams - M H/F - 75

À propos de Doctolib

Nous sommes une entreprise B Corp engagée à construire ensemble la santé dont nous rêvons tous.

Plus de 2 900 Doctolibers en France, en Allemagne, en Italie et aux Pays-Bas contribuent à améliorer le quotidien des équipes soignantes grâce à une nouvelle génération de technologies et de services.

En parallèle, Doctolib aide plus de 80 millions de patients à gérer efficacement leur santé et à accéder rapidement et facilement à des soins optimaux.What you'll do

At Doctolib, we're revolutionizing healthcare delivery through advanced AI systems focused on medical reasoning. As a Senior Machine Learning Engineer specializing in Medical Reasoning, you'll develop cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You'll work at the intersection of machine learning and healthcare, creating models that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care.

Your responsibilities include (but are not limited to):

- Design and implement novel architecture approaches to enhance reasoning capabilities in medical language models
- Develop and optimize algorithms for medical knowledge representation and clinical reasoning
- Create frameworks for medical agents that can assist healthcare professionals with evidence-based insights
- Implement effective evaluation methodologies to assess medical reasoning performance and factual accuracy
- Collaborate with healthcare professionals to translate medical knowledge into computational models
- Build systems that can explain their reasoning process to ensure transparency and trust with medical users
- Deploy your algorithms in production guided by our ML platform team

Who you are

You could be our next team mate if you have:

- Ph.D. degree (preferred) or MSc in Computer Science, Machine Learning, Computational Medicine, or a related field. Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus
- At least 5 years of experience working with language models, with demonstrable focus on reasoning capabilities and knowledge representation
- Proven track record of implementing and fine-tuning large language models (LLM) with domain-specific knowledge
- Expertise in developing robust evaluation frameworks for assessing model performance in high-stakes domains
- Proficiency with deep learning frameworks such as PyTorch, or JAX
- Strong understanding of medical data privacy and security requirements
- Experience with medical data, terminology, and healthcare workflows is a plus;

If you possess these qualifications and have a passion for pushing the boundaries of LLM, NLP and RAG frameworks, we invite you to apply for this Senior Machine Learning Engineer position.

What we offer

- Free Health Insurance for you & your children
- Up to 14 days of RTT
- Transparent internal mobility opportunities you're welcome to apply for
- Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
- Solidarity Days (2 days per year to help health charities and create a positive social impact)
- Wellbeing program (free mental health and coaching offer with our partner moka.care)
- A flexible workplace policy offering both hybrid and office-based mode
- Flexibility days allowing to work in EU countries and the UK 10 days per year
- Lunch voucher with Swile card
- Work Council subsidy to refund part of sport club membership or creative class
- Bicycle subsidy
- Reimbursement of public transportation
- Relocation support for international mobilities

The interview process

- HR Screen
- Technical Deep Dive
- System Design
- Behavioral Interview
- Final interview with the VP Data&AI
- Reference check and criminal records check
- Offer!

Job details

- Permanent position
- Full Time
- Workplace : Doctolib Paris office in Levallois Perret
- Work mode: hybrid 3 days/week in the office
- Start date: asap
- Remuneration : fix + bonus on objectives (according to your profile)