Audio Machine Learning Engineer, GenAI, Pixel

Google Inc.; Mountain View (CA); On-site; USD 141,000 - 202,000; Full time

Job summary

Join a forward-thinking company as an Audio Machine Learning Engineer, where you'll leverage cutting-edge technology to enhance audio experiences across a diverse range of devices. This role involves developing machine learning models and systems that drive innovation in audio applications, particularly focusing on generative audio modeling and fine-tuning large language models. Collaborate with a talented team dedicated to pushing the boundaries of audio technology, ensuring that every interaction with devices is seamless and impactful. If you're passionate about audio technology and eager to make a difference, this is the perfect opportunity for you.

Benefits

Health Insurance

Retirement Plan

Paid Time Off

Employee Discounts

Wellness Programs

Flexible Work Hours

Professional Development

Stock Options

Parental Leave

Remote Work Opportunities

Qualifications

• 2+ years of experience in software development and data structures.
• Experience in audio applications and machine learning systems.

Responsibilities

• Develop ML systems for Pixel audio advancements.
• Conduct applied research on audio engineering problems.

Skills

Software Development

Data Structures

Algorithms

Audio Applications

Machine Learning

Natural Language Processing

Generative Audio Modeling

Data Engineering

Education

Bachelor's Degree

Master's Degree or PhD

Tools

LLMs

Visualization Tools

Job description

Audio Machine Learning Engineer, GenAI, Pixel

corporate_fare Google place Mountain View, CA, USA

Apply

• 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 qualifications:

• 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.
  

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 benefits at Google .

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.
  

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 .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.