Google · 1 year ago
Audio Machine Learning Engineer, GenAI, Pixel
Google provides a search engine that retrieves information from various online sources, and they are seeking an Audio Machine Learning Engineer to develop machine learning systems and models for Pixel audio advancements. The role involves addressing complex audio research problems, conducting applied research, and building end-to-end ML systems.
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Responsibilities
Address 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
Qualification
Required
Bachelor's degree or equivalent practical experience
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting
2 years of experience with data structures or algorithms in either an academic or industry setting
Experience with audio applications using LLMs, audio tokenization, and similar technologies
Preferred
Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP)
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging
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
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
80%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Sales
Creatives and Design
Accounting and Finance
Marketing
Customer Service and Support
Legal and Compliance
Human Resources
Public Sector and Government
Education and Training
Arts and Entertainment
Trends of Total Sponsorships
*2026 (2639)
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Recent News
2026-08-06
2026-08-06
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