Machine Learning Internship - Foundation model adaptation for Multiple Sclerosis

Raidium; Paris; Sur place; EUR 20 311 - 24 328; Plein temps

Avantages offerts par ce poste

Competitive salary

Access to premium computing hardware

Résumé du poste

A leading medical technology company is offering an internship in Paris focused on adapting groundbreaking large vision language models for Multiple Sclerosis diagnosis. Candidates should be finishing their MSc in related fields and possess skills in machine learning, deep learning, and Python. This role involves working closely with radiologists and entails tasks like model pre-training and validation, contributing to impactful healthcare advancements. Competitive salary and premium computing resources are part of the package.

Qualifications

• Finishing MSc in a relevant field with strong analytical skills.
• Proficiency in statistics and machine learning necessary.
• Experience with deep learning and computer vision is crucial.

Responsabilités

• Adapt pre-train models on brain MRI images for specific MS tasks.
• Work closely with radiologists to validate model performance.
• Establish evaluation pipelines for model assessment.

Connaissances

Statistical proficiency

Machine Learning algorithms

Deep Learning

Computer Vision algorithms

Natural Language Processing algorithms

Python proficiency

Formation

MSc in Mathematics / Computer Science / Electrical Engineering

Description du poste

About Raidium

Raidium is developing the most advanced radiological LVLM (Large Vision Language Model); The first version of our Foundation model, Curia, is now the state-of-the-art copilot of the new generation of radiological image manipulation software.

The internship - Foundation model adaptation for Multiple Sclerosis

Multiple Sclerosis (MS) is a complex chronic neurological disease. Early and accurate diagnosis via MRI, relying on subtle, tiny lesions and specialized sequences (FLAIR, SWI), remains a significant challenge in clinical practice.

• Foundation models (like DINOv2) leveraging Self‑Supervised Learning (SSL) have revolutionized computer vision, showcasing superior generalization. While their medical adaptations like Rad‑DINO and Curia (developed at Raidium, pre‑trained on 200M+ medical images that come from 150K CT scans and MRIs) exist, adapting them for MS imaging faces diminished efficacy.
• This challenge arises because the MS‑defining features—specifically the tiny, sub‑millimeter lesions and the data from specialized sequences (SWI‑m, SWI‑ph)—constitute a highly granular and underrepresented domain within large‑scale medical pretraining datasets.

In this internship, you will:

• Adapt or pre‑train a vision transformer with SSL (e.g. Curia or DINOv2 from scratch) on brain MRI images leveraging large public and private datasets.
• Investigate and apply parameter‑efficient fine‑tuning (PEFT) methods, such as LoRA, to adapt the pre‑trained model for specific MS tasks.
• Learn everything about the diagnosis of MS on brain MRI (McDonald Criteria, Central Vein Sign (CVS) and paramagnetic rim lesions (PRLs), …).
• Work directly with radiologists to gain feedback and validate model performance against clinical ground truth.
• Establish robust evaluation pipelines to quantitatively assess model performance and benchmarking against leading foundation models.

You

• Finishing MSc in Mathematics / Computer Science / Electrical Engineering.
• Proficiency with statistics / Machine Learning algorithms.
• Proficiency with Deep Learning, Computer Vision algorithms and/or NLP algorithms.
• Proficiency with Python.
• Willingness to work in the healthcare industry.
• Authorization to work in France.

Pluses

• Experience in an agile work environment.
• Publication history in top‑tier Machine Learning or healthcare journals.
• Experience in healthcare and/or with the manipulation of radiological images.
• Experience with Self‑Supervised Learning and Transformers.
• Experience with HPC clusters and GPU‑based infrastructures.

Why join us

• Have a real and positive impact on people's lives.
• Apply and improve the latest Deep Learning technologies to build an inspiring product.
• Be in contact with radiologists in our partner center.
• Be among the first employees of Raidium.
• Work with a team of internationally recognized experts.
• Work with a diverse team of engineers and medical doctors.
• Competitive salary.
• Access to premium computing hardware.

€2,000 - €2,000 a month

Duration: 6 months

Expected start date: March 2026

Location: Hôpital Cochin, Paris 14