Software engineer, Machine Learning, Pixel Biometrics

Google is seeking a Software Engineer to join their Pixel Biometrics team, focusing on machine learning and biometric authentication for Pixel devices. The role combines cutting-edge ML technology with practical applications in security and user authentication, including both NIR and RGB face authentication systems.

The position requires expertise in machine learning, data pipeline development, and C++ programming, with opportunities to work on critical authentication infrastructure for Google's Pixel device lineup. The team's work directly impacts user security and privacy through AI-powered features.

As part of Google's Devices & Services team, you'll be at the intersection of AI, Software, and Hardware, creating innovative solutions that enhance user interactions with computing systems. The role involves handling large-scale data processing, model evaluation, and system deployment across multiple Pixel devices.

The ideal candidate will have strong software engineering fundamentals combined with machine learning expertise. You'll be responsible for developing and maintaining critical infrastructure, ensuring secure and efficient biometric authentication systems, and contributing to the evolution of Google's device security features.

This position offers the opportunity to work with world-class engineers and researchers, access to Google's extensive technical resources, and the chance to impact millions of users through Pixel devices. You'll be part of a team that's pushing the boundaries of what's possible in mobile biometric security while maintaining the highest standards of privacy and user protection.