Audio Machine Learning Engineer, GenAI, Pixel

About the job

The TechEng team is a central technology innovation group in Devices & Services dedicated to developing innovative and strategic solutions across the Devices Portfolio for Google. This includes Pixel Phones, Pixel Buds, Watches, and Home (e.g., tablets, trackers, etc.). We leverage our deep understanding of the portfolio to design and implement innovative solutions that align hardware, software, and AI/ML capabilities.

In the Audio Applied Research Group, we focus on audio, speech, media fundamentals, quality, and bringing differentiation to the Pixel portfolio. We work on taking novel ideas and delivering them via cutting edge research and development as well as seeing those through launch.

In this role, you'll be responsible for developing the machine learning system and models that power the Pixel audio advancements, particularly LLM fine tuning and leveraging Gemini for audio use cases. This includes tasks such as data collection design, data engineering, feature engineering, model training, and model evaluation. You will work with engineers, researchers, and product managers across Google to design and implement new features for the personal audio experience.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .