Software Engineer III, Audio Machine Learning, Pixel

Google is seeking a Software Engineer III specializing in Audio Machine Learning for their Pixel team. This role combines software engineering with advanced audio processing and machine learning expertise. As an Audio Research Engineer, you'll be responsible for developing algorithms for audio use cases across Pixel product lines, working at the intersection of ML and audio processing.

The position involves innovating and executing audio pipelines through both offline simulation and real-time on-device hardware. You'll collaborate closely with prestigious teams like Google DeepMind and Google Silicon to shape the future of audio technology in the Pixel ecosystem. The role requires expertise in ML model development, audio processing, and the ability to optimize these solutions for mobile devices.

The Google Pixel team is dedicated to creating the world's most helpful mobile experience, combining Google's AI, software, and hardware expertise. This role offers the opportunity to work on cutting-edge audio technology that will directly impact millions of users worldwide. You'll be part of a team that's pushing the boundaries of what's possible in mobile audio processing and machine learning.

The ideal candidate should have strong programming skills, particularly in Python and ML frameworks, along with a deep understanding of audio processing and machine learning principles. Experience with audio model development and deployment is crucial, and familiarity with mobile/embedded systems would be advantageous. This position offers the chance to work on transformative audio experiences while collaborating with some of the best minds in the industry.