Senior Research Scientist, Audio Machine Learning

Senior Research Scientist, Audio Machine Learning

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

In this role, you will be responsible for the algorithm development for audio use cases across Pixel product lines. You will innovate, execute, and validate audio pipelines through both offline simulation and real-time on-device hardware. You will be interacting with partner teams such as Google DeepMind and Google Silicon teams to design and modify the algorithms and software layers to impact the upcoming Google audio technology roadmap across the Pixel ecosystem.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

The US base salary range for this full-time position is $166,000-$244,000 + 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.

Responsibilities:

• Own Machine Learning model development including model training and optimization.
• Contribute to model inference optimization into Android Kernel/HAL and audio and speech algorithms development process.
• Design and fine tune ML models for Pixel devices.
• Contribute to prototyping to delivery for audio features.
• Collaborate with Android Pixel Audio and Google Silicon teams for feature development.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know Your Rights: Workplace Discrimination is Illegal, Belonging at Google, and How We Hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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