Staff Software Engineer, Private Machine Learning

Google is seeking a Staff Software Engineer to join their Private Machine Learning team, focusing on the Privacy Sandbox initiative. This role combines advanced machine learning expertise with privacy-preserving technologies to develop innovative solutions for ads machine learning problems. The position offers an opportunity to shape the future of private advertising while working on cutting-edge privacy-preserving APIs and technologies.

The role involves working with machine learning recommendation systems, particularly in the advertising context, while ensuring user privacy through techniques like DP-SGD and Trusted Execution Environments. The successful candidate will lead distributed engineering teams, design experiments, and implement large-scale software solutions.

This is an excellent opportunity for experienced engineers passionate about machine learning, privacy, and advertising technology. The role offers competitive compensation ($197,000-$291,000 + bonus + equity + benefits) and the chance to work on projects that impact billions of users while maintaining privacy standards.

The position requires deep expertise in software development, machine learning, and system architecture, with opportunities to collaborate with Google research teams and contribute to open-source implementations. The role combines technical leadership with hands-on development, making it ideal for those who want to influence the future of private machine learning in advertising.