Senior Machine Learning Engineer

We are looking for a Senior Machine Learning Engineer - Medical Reasoning to join the Medical Reasoning team in AI & Data . As a Senior Machine Learning Engineer - Medical Reasoning , your mission will be to work on developing cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You will be working in a feature team developing AI systems that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care. Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. 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

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 a 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
• You have at least 5 years of experience working with language models, with demonstrable focus on reasoning capabilities and knowledge representation
• You have a proven track record of implementing and fine-tuning large language models (LLM) with domain-specific knowledge
• You have expertise in developing robust evaluation frameworks for assessing model performance in high-stakes domains
• You are proficient with deep learning frameworks such as PyTorch, or JAX

Now it would be fantastic if you have:

• Strong understanding of medical data privacy and security requirements
• Experience with medical data, terminology, and healthcare workflows

• Free comprehensive health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• Lunch voucher with Swile card
• Relocation support for international mobilities

• HR Screen
• Technical Deep Dive
• System Design
• Behavioral Interview
• At least one Reference check

• Permanent position
• Full Time
• Workplace : Doctolib Paris office in Levallois Perret
• Work mode: hybrid 3 days/week in the office
• Start date: asap

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 for inquiries or to exercise your rights.