AI ENGINEER – COMPUTER VISION & DEEP LEARNING FOR DIGITAL PATHOLOGY

Descriptif du poste

Location: Paris (Station F) – Hybrid

Contract: Full-time

Salary: €3,300 – €4,100 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 Engineer (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 turn 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 working directly with the CTO, and collaborate closely with medical experts.

What You’ll Do

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

Profil recherché

Who You Are

• Graduate in computer science, AI, applied math, or biomedical engineering
• Strong skills in Python and deep learning, especially with computer vision models
• Experience with image-based datasets, training pipelines, and evaluation strategies
• Curious, fast learner, and excited by real-world impact
• Comfortable with Git and collaborative coding practices
  
  

Nice To Have

• Hands-on experience with GANs or transformers
• Knowledge of medical imaging or histopathology
• Familiarity with MLOps tools (W&B, DVC, Docker…)
• Exposure to spectral data or multi-channel imaging
• Interest in healthcare and ethical, responsible AI
  
  

Process de recrutement

Hiring Process

• 30-min intro chat with CEO
• 30-min tiny project presentation with CTO
• 30-min in-person peer-coding with CTO
• → Quick feedback & offer within days
  
  

Diversity & Inclusion

At RainPath, we value kindness, honesty, and inclusivity. We strongly believe that diverse teams build better products — and we’re committed to creating a safe and empowering environment for everyone, regardless of background, gender, ethnicity, or orientation.

How To Apply

Complete your application on the website with your resume.

No formal letter needed — just a few words about why this internship (or AI in healthcare) excites you.

Informations complémentaires

• Type de contrat : CDI
• Lieu : Paris
• Télétravail partiel possible
• Salaire : entre 3300€ et 4100€ / mois