Senior Applied Scientist - Identity ML & Fraud

Entrust; Paris; Hybride; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Entrust is seeking a Senior Applied Scientist to drive research and develop machine learning solutions focusing on digital identities. The role involves pushing research boundaries in areas such as deepfake detection and fraud detection.

The candidate will work collaboratively with teams to improve products and publish impactful research. This position is based in our Paris office with a hybrid model requiring three days in-office presence.

Join Entrust and make a difference by building cutting-edge machine learning products!

Qualifications

• Strong experience in machine learning and computer vision.
• Strong record of delivering high-performance ML-driven products.
• Deep understanding of machine learning theory.
• Strong coding skills in Python and PyTorch.

Responsabilités

• Push the frontier of research in areas such as deepfake detection and bias mitigation.
• Publish research results in conferences and journals.
• Implement bias-mitigation strategies and build fair models.
• Train and benchmark vision-language models for document extraction.
• Profile, debug and improve model training speed.
• Experiment with multimodal models to detect fraud.

Connaissances

Machine learning

Computer vision

Python

PyTorch

Outils

AWS

Encord

Ray

PyTorch Lightning

Weights & Biases

Description du poste

Entrust is seeking a Senior Applied Scientist to drive research and develop machine learning solutions focusing on digital identities. The role involves pushing research boundaries in areas such as deepfake detection and fraud detection.

The candidate will work collaboratively with teams to improve products and publish impactful research. This position is based in our Paris office with a hybrid model requiring three days in-office presence.

Join Entrust and make a difference by building cutting-edge machine learning products!