Software Engineer III, ML Infrastructure, Pixel

Google is seeking a Software Engineer III for their ML Infrastructure team working on Pixel devices. This role is part of the Pixel Biometrics team, which provides seamless biometric authentication for the Pixel lineup of devices. The team has achieved significant milestones in NIR face authentication and developed the world's most secure RGB face authentication using commodity hardware.

The position requires expertise in building large-scale infrastructure and ML systems, with a focus on developing data ingestion pipelines and performance evaluation tools. You'll be working at the intersection of ML, data science, and engineering to create secure, privacy-preserving AI features for Pixel devices.

As part of Google's Devices & Services team, you'll contribute to combining the best of Google AI, Software, and Hardware to create radically helpful experiences for users. The role involves handling critical responsibilities like managing face authentication model deployments and expanding the authentication infrastructure to support various devices and ML teams.

The ideal candidate should have strong programming skills in languages like Python, Java, or Go, with experience in large-scale systems and distributed computing. You'll be working in an environment that values innovation, technical excellence, and the ability to solve complex problems at scale.

This position offers the opportunity to work on cutting-edge technology that directly impacts millions of users' daily interactions with Pixel devices. You'll be part of a team that's pushing the boundaries of what's possible in biometric authentication while maintaining the highest standards of security and privacy.