Applied Audio Machine Learning Engineer

Google's Extended Reality (XR) team is seeking an Applied Audio Machine Learning Engineer to join their innovative team developing AR and VR technologies. This role sits at the intersection of audio processing and machine learning, focusing on creating and optimizing ML models for enhanced audio experiences in XR devices. The position offers an opportunity to work on cutting-edge challenges like speech denoising, separation, and conversation detection in wearable devices.

The role requires expertise in machine learning principles, audio processing, and software development, with a focus on real-time applications for mobile/embedded platforms. You'll be working with cross-functional teams to integrate ML models into XR devices, ensuring high performance and low latency. The position offers competitive compensation ranging from $141,000 to $202,000, plus additional benefits including bonus and equity.

As part of Google's XR Audio Machine Learning team, you'll contribute to the future of Augmented Reality and Virtual Reality technology, developing solutions for complex challenges like detecting speech in noisy environments and sub-vocal speech detection. The role involves not just technical development but also collaboration with hardware engineers, product managers, and designers to create seamless user experiences.

Google's commitment to innovation and scale means you'll be working on technologies that impact billions of users worldwide. The company offers a supportive environment for professional growth, with opportunities to work on various aspects of the technology stack. This position is perfect for someone passionate about the intersection of audio processing, machine learning, and extended reality, who wants to contribute to the future of immersive computing.