Google
Machine Learning Engineer, Audio, GenAI, Pixel
Google, Mountain View, California, us, 94039
Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.Experience with audio applications using LLMs, audio tokenization, and similar technologies.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).7 years of experience with consumer hardware, producing new technology.Experience with ML/AI algorithms and tools, deep learning or natural language processing.Experience with Generative Audio Modeling, Multimodal modeling, On-device AI Implementation or Fine tuning for LLMs.About The JobThe 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.
ResponsibilitiesAddress challenging audio research and engineering problems at the very cutting edge of GenAI that can be deployed on Google's hardware portfolio (e.g., phones, watches, earbuds, tablets, etc.).Conduct applied research figuring out research developments best suited to solve open-ended problems on hardware devices.Break down challenging problems to make iterative progress.Build end-to-end ML systems spanning data, modeling, evaluation, before handing off to deployment on-device.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.#J-18808-Ljbffr
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.
ResponsibilitiesAddress challenging audio research and engineering problems at the very cutting edge of GenAI that can be deployed on Google's hardware portfolio (e.g., phones, watches, earbuds, tablets, etc.).Conduct applied research figuring out research developments best suited to solve open-ended problems on hardware devices.Break down challenging problems to make iterative progress.Build end-to-end ML systems spanning data, modeling, evaluation, before handing off to deployment on-device.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.#J-18808-Ljbffr