Health AI ML Engineer Intern | Hybrid in Paris

Doctolib GmbH

Friauville

Híbrido

EUR 10.000 - 13.000

Tempo integral

Há 13 dias

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

Hybrid + office policy
Lunch voucher Swile card
Sport club subsidy
Public transport reimbursement

Resumo da vaga

Doctolib is seeking a Machine Learning Research Intern to join its Applied AI team in Paris, with a 6‑month program starting in April 2027. The role blends research and practical development to improve healthcare access and professional/patient experiences.

You'll work in a cross-functional, agile setup, collaborating with ML engineers and researchers, and contribute to ethical AI initiatives across Europe. The internship is based in Levallois-Perret with hybrid, office-inclusive working days.

Qualificações

  • Master's student with practical ML experience
  • Strong programming in Python
  • Enthusiastic about collaborative work
  • Interested in improving healthcare through technology
  • Fluent in English and French

Responsabilidades

  • Develop and experiment with machine learning models to solve real-world healthcare challenges
  • Collaborate with ML engineers and researchers on applied research projects
  • Participate in improving medical practice efficiency through AI
  • Explore new model architectures and data processing techniques

Conhecimentos

Python
Machine Learning
Collaboration
English
French

Formação

Master's degree in ML/CS

Descrição da vaga

Doctolib is seeking a Machine Learning Research Intern to join its Applied AI team in Paris, with a 6‑month program starting in April 2027. The role blends research and practical development to improve healthcare access and professional/patient experiences.

You'll work in a cross-functional, agile setup, collaborating with ML engineers and researchers, and contribute to ethical AI initiatives across Europe. The internship is based in Levallois-Perret with hybrid, office-inclusive working days.

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