Senior Software Engineer II
Core
Design and develop AI-driven liveness detection systems to prevent spoofing attacks in biometric authentication processes.
Role type
Senior Machine Learning Engineer (Biometrics/Anti-Spoofing)
Builds
Production liveness detection models and multimodal biometric security systems
Domain
Cybersecurity, Biometrics, Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, Machine learning framework expertise, Python programming, Feature engineering, Data preprocessing, Algorithm implementation, System testing and validation, Real-time data processing
Preferred skills
Experience with anti-spoofing standards (NIST ISO/IEC 30107, FIDO), Multimodal biometric integration (facial, fingerprint, iris), Scalability optimization
Technologies
TensorFlow, Keras, PyTorch, Python, Java, R
Responsibilities
Design liveness detection systems using AI algorithms, Build and optimize deep learning models for spoofing detection, Extract features from biometric data (texture, motion, 3D depth), Collaborate on data collection and preprocessing for model training, Implement ML algorithms for real-time biometric data processing, Conduct rigorous testing and validation of detection systems, Deploy and monitor systems in production environments
Seniority
Senior, hands-on IC