Descripción de la oferta
Experteer Overview
As part of a Europe-based research team, you advance Daon’s biometric solutions by building and evaluating face authentication technologies. You’ll collaborate with researchers and engineers to deliver on strategic objectives, tackle presentation attack detection and fraud prevention challenges, and translate experimental results into deployable models. You’ll work with state-of-the-art biometric codebases while staying aligned with privacy, security, and ethical considerations. This role offers the chance to shape next-gen face biometrics in a global leader in identity security.
Compensaciones / Beneficios
• Develop machine learning algorithms for face authentication
• Research, prototype, and evaluate presentation attack detection and fraud prevention methods
• Test and configure face algorithms to meet performance and accuracy targets
• Extend and utilize existing biometric code libraries
• Run rigorous experiments, interpret results, and translate findings into deployable models and policies
• Contribute to innovations addressing emerging face biometrics challenges
• Continue building expertise in AI, ML, and computer vision
Responsabilidades
• Experience in at least two of: computer vision u0026 deep learning; data u0026 experimental methods; image recognition u0026 matching; liveness u0026 anti-spoofing
• Proficiency with PyTorch or TensorFlow
• Strong programming skills in Python and/or C++ with version control, testing, and debugging
• Experience handling large-scale datasets and/or synthetic data generation or weakly supervised learning
• Experience with authentication or identity matching and metric learning
• Exposure to presentation attack detection and anti-spoofing research
• Strong written and verbal communication in English
Requisitos principales
• Competitive compensation
• Flexible working environment
• International collaboration
• Opportunities for career growth
• Inclusive and diverse workplace
• Remote-friendly policy
