Senior Software Engineer
Core
Develop advanced systems to detect and prevent spoofing attacks during biometric authentication processes using machine learning and deep learning.
Role type
Senior IC machine-learning engineer (biometrics)
Builds
Liveness detection systems for digital identity verification
Domain
Cybersecurity / Biometrics / Identity Verification
Deliverable
production ML models
Required skills
Deep learning model development, Machine learning frameworks (TensorFlow, Keras, PyTorch), Python, Java, R, Feature engineering, Data preprocessing, Algorithm implementation, System testing and validation
Preferred skills
Experience with anti-spoofing standards (NIST ISO/IEC 30107, FIDO), Multimodal approaches (facial recognition, fingerprint scanning, iris recognition)
Technologies
TensorFlow, Keras, PyTorch, Python, Java, R
Responsibilities
Design liveness detection systems utilizing AI algorithms, Build and optimize deep learning models for liveness detection, Identify and extract features from biometric data, Collaborate on data collection and preprocessing for model training, Implement machine learning algorithms for real-time biometric data processing, Conduct rigorous testing and validation of detection systems, Deploy and monitor liveness detection systems in production environments
Seniority
Senior, hands-on IC
