The Audio Machine Learning Engineer role at Google Beam focuses on developing advanced software and hardware technology to enhance communication experiences. The team aims to enable people separated by distance to engage in conversations as if they were together. This position involves significant collaboration with research scientists, audio engineers, and software developers to integrate machine learning models into the Starline system. The role offers the opportunity to make a substantial impact on the future of communication through innovative audio features.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience working with and evaluating audio or speech processing ML models.
• 5 years of experience with speech enhancement, audio quality assessment, audio signal processing, and sound separation.
• 5 years of experience working in C++ and Python to develop, integrate, and maintain code.

• Define the roadmap and set goals and priorities for the Audio ML effort.
• Coordinate workstreams with supporting team members.
• Train, evaluate, and fine-tune models for speech enhancement, sound separation, classification, and remixing.
• Develop and maintain the audio infrastructure in C++, ensuring scalability, reliability, and efficiency.
• Optimize model inference for real-time, low-latency performance on both CPU and GPU platforms.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.