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 with privacy-preserving technologies to revolutionize digital advertising. The position offers an opportunity to shape the future of private advertising through research, prototyping, and implementation of secure ML solutions.

The role requires deep expertise in machine learning, particularly in advertising contexts, combined with knowledge of privacy-preserving techniques like DP-SGD and Trusted Execution Environments. You'll lead a distributed team, designing experiments and implementing solutions that balance privacy requirements with ML effectiveness.

As part of Google's engineering team, you'll work on critical projects with opportunities for growth and evolution. The role offers competitive compensation ($197,000-$291,000 base salary plus bonus and equity) and comprehensive benefits. You'll be at the forefront of developing technologies that protect user privacy while enabling effective digital advertising solutions.

The position is based in Mountain View, CA, and requires collaboration with Google Research and various stakeholders in the advertising ecosystem. This is an excellent opportunity for someone passionate about privacy-preserving machine learning and interested in making a significant impact on the future of digital advertising technology.