Software engineer, Machine Learning, Pixel Biometrics

Google's Pixel Biometrics team is seeking a Machine Learning Software Engineer to work on cutting-edge biometric authentication systems for Pixel devices. The role involves developing and implementing advanced face authentication technologies, including NIR and RGB-based solutions. As part of Google's Devices & Services team, you'll combine AI, Software, and Hardware to create innovative user experiences.

The position requires expertise in machine learning, data processing, and software engineering. You'll be responsible for building large-scale data pipelines, developing and fine-tuning ML systems, and managing face authentication model deployments for Pixel devices. The role offers opportunities to work with state-of-the-art technology while maintaining high standards for security and privacy.

This is an exciting opportunity to join Google's mission of organizing world's information while working on practical applications of machine learning in consumer devices. You'll be part of a team that has already achieved significant breakthroughs in biometric authentication, including developing the world's most secure RGB face authentication using commodity hardware.

The ideal candidate will have strong software development skills, experience with machine learning algorithms, and knowledge of data privacy and security. You'll work in a collaborative environment where you can contribute to products that impact billions of users while advancing the field of biometric authentication.