Applied Scientist Intern - Paris (ML/CV, Fraud)

Entrust Datacard; Paris; On-site; EUR 11,160 - 16,740; Full time

Job summary

A global technology company in Paris is seeking an Applied Scientist Intern to contribute to developing machine learning models for fraud detection and data extraction. The ideal candidate is currently enrolled in a Master's or PhD program in Computer Science and has proficiency with a deep learning framework, especially PyTorch or TensorFlow. The intern will work on large-scale datasets, be mentored by a senior scientist, and have opportunities to publish their findings. The role emphasizes innovation, collaboration, and has a significant global impact.

Qualifications

• Currently enrolled in a Computer Science Master’s or PhD degree or a related field.
• Proficiency with a modern deep learning framework (PyTorch or TensorFlow).
• Ability to write research code in Python.
• Strong communication and collaboration skills.
• Strong willingness to learn.

Responsibilities

• Contribute to research on Vision Language Models for fraud detection.
• Work on unique, large-scale image and video datasets.
• Train models on state-of-the-art GPUs.
• Be mentored by a senior machine learning scientist.
• Publish and open-source work.
• Be part of a vibrant team of Applied Scientists.

Skills

Deep learning framework proficiency (PyTorch or TensorFlow)

Research coding in Python

Strong communication skills

Collaboration skills

Willingness to learn

Education

Currently enrolled in a Computer Science Master’s or PhD

Tools

AWS

Git

Job description

A global technology company in Paris is seeking an Applied Scientist Intern to contribute to developing machine learning models for fraud detection and data extraction. The ideal candidate is currently enrolled in a Master's or PhD program in Computer Science and has proficiency with a deep learning framework, especially PyTorch or TensorFlow. The intern will work on large-scale datasets, be mentored by a senior scientist, and have opportunities to publish their findings. The role emphasizes innovation, collaboration, and has a significant global impact.