Machine Learning Engineer - Intern (end of studies)

OWKIN is hiring!



At OWKIN, we are dedicated to advancing the state-of-the-art in machine learning for medical research. From finding the next cancer-fighting molecule to tracking tumors, machine learning is an essential tool for pharmacologists, pathologists and many other medical practitioners and researchers. Our team is international, multidisciplinary with incredible talent in machine learning, medicine and business. Our data scientists are among the best in the world, with several Kaggle Masters, DREAM Challenge top performers, and publications in ICML, NIPS and other top scientific journals.
Owkin has raised a total of 18.1M$ with funds including Google Ventures and Otium capital, has offices in Paris, New-York, London and Nantes and is now looking for new talents.

OWKIN’s proprietary platform, OWKIN Socrates, uses machine learning technology to integrate biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes. OWKIN builds scientific collaborations with top-tier medical institutions and partners with leading pharmaceutical companies. OWKIN also develops state-of-the-art federated learning technologies in healthcare to overcome the need to share sensitive medical data, building collective intelligence from distributed data at scale, preserving privacy and security.

What you will do


We are looking for a passionate and motivated machine learning engineer intern to work with our research team.

The Machine Learning Engineer is an intermediate between pure Data Science and pure Development, as outlined by the following diagram: its role is to understand and implement Machine Learning algorithms and implement them at a production level.

In this position, you will be part of the development of machine learning algorithms, internal libraries and tools as well as working with our product teams to translate these creations into production. The successful candidate must have a cross-discipline background in machine learning and software engineering, and have a passion for tackling large and challenging real-world problems in the field of medical science.

The position is located in OWKIN Lab, our Paris-based R&D center. As such, the candidate must possess authorization to work legally in France. Candidates not meeting every criteria, but who can demonstrate exceptional skill in key areas, are invited to apply.

What we are looking for


  • Currently finishing a MS or BS in software engineering, computer science, applied mathematics, or an associated field
  • Python development expertise
  • Knowledge of production environments: Documentation / Specification, Unit tests, Deployment, Code optimisation
  • Knowledge and familiarity of machine learning fundamentals, from linear models to convolutional networks. A good grasp of concepts such as bias-variance tradeoff, under/overfitting, curse of dimensionality etc.
  • Experience with Machine Learning and Deep Learning frameworks (Tensorflow, PyTorch, etc.)
  • Development experience in Linux/Unix-like environments
  • Authorization to work legally in France


  • Participation in data science projects.
  • Contribution to publications at machine learning conferences and journals (NeurIPS, ICML, ICLR, etc.)
  • Knowledge of applied mathematics concepts (signal & image processing, statistics, etc…)
  • Experience with cloud computing services such as GCP, AWS, Azure, etc.
  • Knowledge with container-based deployments: Docker, Kubernetes, etc.
  • Experience developing solutions for distributed computation
  • Experience with system languages (C/C++) or scientific computing languages (Julia, R, etc.)
  • Experience with CUDA in C/C++
  • Contributions to OSS projects


  • ...enjoy working in a small, passionate team where your contributions will have a direct impact.
  • ...value process, standards, communication, and code quality.
  • ...want to help build never-before-seen technologies.

Additional Information

  • Contract type: Internship (4 to 6 months)
  • Location: Paris, France (75003)
  • Possible remote work