AI Intern – Computer Vision & Deep Learning for Digital Pathology

Location: Paris (Station F) – Hybrid with 1 offsite week/ month

Contract: Gap year or end-of-studies internship – 6 months (Feel free to apply for a shorter internship too!)

Salary: €1,500 – €2,000 gross/month

About RainPath

RainPath is reinventing how we diagnose human tissue.

Today, pathology still relies on chemical stains, manual processing, and long delays to detect diseases. We’re building the first 100% software-based diagnostic platform — using deep learning and advanced imaging to detect lesions and biomarkers directly from raw slides.

We combine two major innovations:

·       A virtual staining & biomarker detection module, trained on real clinical data

·       A workflow automation module, handling pre-screening, structured reporting, and traceability

With RainPath, we enable:

·       Instant diagnostics

·       100× cheaper workflows

·       A fully digital, scalable diagnostic pipeline

This is a paradigm shift in pathology — and we’re leading it.

The Role – AI Intern (Computer Vision)

You’ll join our core R&D team and contribute to the development of AI models that power the most advanced digital pathology workflows to date.

You’ll be working with real medical datasets (WSI, autofluorescence, hyperspectral), help train and evaluate models for classification, segmentation, and virtual staining — and assist in turning those models into product-grade tools for real pathologists.

You’ll also contribute to the exploration of new imaging modalities (e.g. autofluorescence, hyperspectral, Raman) by helping process, align, and exploit raw optical signals within our training pipelines.

You’ll be mentored directly by the CTO, and collaborate closely with AI engineers, product designers, and medical experts.

The internship includes 1 offsite coliving week per month focused on deep work, team alignment, and building strong team culture.

What You’ll Do

·       Train and fine-tune deep learning models (GANs, U-Nets, encoders...)

·       Help design experiments for tissue classification & virtual staining

·       Preprocess and manage medical imaging datasets (tiles, annotations, WSI...)

·       Evaluate model performance using clinical and statistical metrics

·       Build reproducible pipelines (data loaders, training loops, experiment tracking)

·       Collaborate with the product & design teams to integrate models into the RainPath platform

·       Stay up to date with recent CV/ML research and contribute to internal R&D

Tech Stack

·       Languages: Python

·       Frameworks: PyTorch, PyTorch Lightning, FastAPI

·       Tools: Git, GitHub, Docker, W&B, Hugging Face

·       Data: WSI, patches, autofluorescence, paired IHC

What We Offer

·       A hands-on role at the heart of a deeptech project

·       Mentorship and technical guidance from experienced founders

·       Access to real-world clinical datasets & product context

·       A hybrid work culture with 1 offsite week/month in coliving

·       The chance to build something that truly matters — for patients, doctors, and science