Software Engineering / Machine Learning Engineering Intern
Apply on company siteAbout 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
Please complete the form and submit your CV.
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.
Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).
The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger
Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.
If you think that you have been a victim of fraud,
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Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities
Notify Owkin's recruitment unit at this address [email protected]
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