Computer Vision Engineer

Computer Vision Engineer at Licorne Society, a Paris-based startup specializing in AI-powered identity verification and facial authentication. The role involves designing, training, and deploying deep learning models for document verification, face authentication, liveness detection, and fraud detection. Work on complex computer vision problems in adversarial environments.

• Design and implement advanced computer vision models
• Explore state-of-the-art architectures
• Manage end-to-end research cycle from prototyping to production
• Collaborate with cross-functional teams (Product, Risk, Fraud, Engineering)
• Contribute to scientific culture through paper presentations and mentoring

• Minimum 4 years experience in deep learning for computer vision in a production environment
• Strong proficiency in Python and PyTorch (or equivalent)
• Experience with large-scale training, data augmentation, and rigorous validation
• Solid theoretical background in statistics, optimization, and supervised/self-supervised learning
• Ability to read and apply scientific literature (ICCV, CVPR, NeurIPS)

• Experience in document fraud, KYC, cybersecurity, or digital identity