As an Applied AI Engineer in the Audio Applied AI Research and Innovation team, you will be at the forefront of defining the future of audio for the Pixel ecosystem. Our mission is to push the boundaries of audio AI, advancing the state-of-the-art in playback, capture, generation, enhancement, and ambient understanding. This role is defined by research-driven innovation and strong engineering principles, where you will bridge the gap between fundamental AI research and deployment in hardware-constrained environments. You will conduct applied research to solve complex audio challenges, working in a highly collaborative environment with cross-functional hardware and software teams to translate research breakthroughs into impactful features for phones, wearables, and future devices.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Based on 637 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $204K/year, with most offers between $162K and $246K (10th–90th percentile: $131K–$285K).
This posting lists $159K–$231K, in line with the $204K market median.
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