Software Engineering / Machine Learning Engineering Intern

Owkin

Paris

Sur place

EUR 11 160 - 20 088

Plein temps

14 jours+

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Avantages offerts par ce poste

Flexible work organization
International team
6-month internship

Résumé du poste

Owkin in Paris is seeking a Software Engineering / ML Engineering Intern to join the K Pro team for a 6-month internship. You will support the development of Owkin's digital pathology capabilities by integrating pathology data and AI-powered analysis into the K Pro platform.

You will contribute to Pathology Explorer, build scalable data ingestion pipelines for H&E slides, extend multimodal capabilities, and develop interactive visualization and analysis tools within Pathology Explorer.

Qualifications

  • Currently pursuing a Master’s degree in Computer Science, Software Engineering, ML, or related field.
  • Strong programming skills in Python.
  • Solid foundations in software engineering and/or data engineering, with interest in scalable pipelines and production-ready capabilities.
  • Interest in digital pathology, multimodal data and translational research applications.
  • Good communication skills, able to work with cross-functional teams and non-technical users.
  • Fluent in English (working language).

Responsabilités

  • Contribute to Pathology Explorer (K Pro's whole-slide-image microservice) enabling interactive exploration of histology data and pathology-derived features.
  • Help build scalable data ingestion pipelines for H&E-stained whole-slide images and derived features; extend multimodal capabilities combining digital pathology with spatial transcriptomics; improve MIL pipelines for pathology analysis; develop interactive visualization and analysis tools within Pathology Explorer.

Connaissances

Python
Software engineering
Data engineering
ML fundamentals
English fluency

Formation

Master’s degree in CS/SE/ML

Outils

PyTorch
scikit-learn

Description du poste

About us

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed.
Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity.
K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the‑art AI for biology and a decade of experience working with pharmaceutical partners.

Position is based in our Paris office.

Start date: October

Please submit your CV in English

About the role:

We are looking for a Software Engineering / Machine Learning Engineering Intern to join the K Pro team for a 6‑month internship. You will support the development of Owkin's digital pathology capabilities by integrating pathology data and AI‑powered analysis into the K Pro platform.

In particular, you will:
  • contribute to Pathology Explorer (K Pro's whole‑slide‑image microservice enabling interactive exploration of histology data and pathology‑derived features).
  • help build scalable data ingestion pipelines for Hematoxylin and Eosin (H&E)-stained whole‑slide images and derived features, extend multimodal capabilities combining digital pathology with spatial transcriptomics, improve Multiple Instance Learning (MIL) pipelines for pathology analysis, and develop interactive visualization and analysis tools within Pathology Explorer.
  • your work will directly contribute to integrating Owkin's digital pathology expertise into K Pro and supporting real‑world translational research use cases.
About you

Required qualifications / experience:

  • Currently pursuing a Master’s degree (or equivalent) in Computer Science, Software Engineering, Machine Learning (ML), or a related field.
  • Strong programming skills in Python.
  • Solid foundations in software engineering and/or data engineering, with an interest in building scalable pipelines and production‑ready capabilities.
  • Interest in digital pathology, multimodal data and translational research applications.
  • Good communication skills, comfortable working with cross‑functional teams and non‑technical users.
  • Fluent in English (working language)

Preferred qualifications/bonus:

  • Experience in ML (with a preference for computer vision skills) and familiarity with ML frameworks (PyTorch, scikit‑learn)

#LI-MD1

What we offer
  • Flexible work organization
  • Friendly and informal working environment
  • Opportunity to work with an international team with high technical and scientific backgrounds
Recruitment Process & Security
  • Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
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