Senior Machine Learning Engineer - Medical Reasoning - AI Teams(x/f/m)

Doctolib; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Un acteur majeur de la révolution de la santé, Doctolib, recherche un Ingénieur en Machine Learning Senior pour développer des solutions d'IA innovantes. Ce poste porte sur la création de modèles capables de comprendre les connaissances médicales et d'assister les professionnels de santé, offrant ainsi des opportunités enrichissantes au sein d'une équipe dynamique. Rejoignez-nous pour façonner le futur des soins de santé avec vos compétences en IA.

Prestations

Assurance santé gratuite pour vous et vos enfants

Jours de RTT

Programme de parrainage

Subventions pour activités sportives

Remboursement de transport public

Soutien à la réinstallation

Qualifications

• 5 ans d'expérience avec des langages de modèles exigés.
• Publications dans des conférences top-tier comme NeurIPS ou ICML sont un plus.
• Expertise en développement d'évaluations pour des domaines à enjeux élevés.

Responsabilités

• Concevoir et mettre en œuvre des architectures visant à améliorer les modèles de langage médical.
• Collaborer avec des professionnels de la santé pour traduire les connaissances médicales en modèles computationnels.
• Déployer des algorithmes guidés par l'équipe de la plateforme d'IA.

Connaissances

Langage de modèles

Représentation des connaissances

Évaluation de modèle

Confidentialité des données médicales

Formation

Ph.D. en Informatique ou Machine Learning

MSc en Médecine Computationnelle

Outils

PyTorch

JAX

Description du poste

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)