Radiology ML Internship: Build Multimodal Models

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

An innovative technology company in Paris seeks an intern for a role focused on multimodal foundation models in radiology. The position involves designing architectures, integrating datasets, and collaborating with radiologists to enhance radiological imaging workflows. Ideal candidates will have an MSc in a relevant field and proficiency in Python, statistics, and machine learning algorithms. This is a unique opportunity to work among leading experts in a meaningful healthcare application.

Qualifications

• Finishing MSc in a relevant field.
• Proficiency with statistics and machine learning algorithms.
• Proficiency in Deep Learning and Computer Vision.

Responsabilités

• Design and experiment with multimodal foundation model architectures.
• Integrate novel pre-training datasets.
• Adapt and benchmark approaches on multimodal tasks.

Connaissances

Statistics

Machine Learning algorithms

Deep Learning algorithms

Computer Vision algorithms

NLP algorithms

Python

Formation

MSc in Mathematics / Computer Science / Electrical Engineering

Description du poste

An innovative technology company in Paris seeks an intern for a role focused on multimodal foundation models in radiology. The position involves designing architectures, integrating datasets, and collaborating with radiologists to enhance radiological imaging workflows. Ideal candidates will have an MSc in a relevant field and proficiency in Python, statistics, and machine learning algorithms. This is a unique opportunity to work among leading experts in a meaningful healthcare application.