Applied Audio Machine Learning Engineer

1 Month ago • 4-6 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

This role involves designing and optimizing machine learning models for audio processing in XR devices. Responsibilities include speech denoising, separation, and conversation detection, ensuring high performance and low latency. The engineer will collaborate with cross-functional teams, maintain technical documentation, troubleshoot performance issues, and design GenAI solutions to enhance audio in XR applications. The ideal candidate will have experience with ML model development, deployment on mobile/embedded platforms, and a strong understanding of audio processing and production performance. This position contributes directly to the future of AR/VR technology at Google.
Must have:
  • ML model development for audio processing
  • Experience with speech denoising & separation
  • Real-time audio processing on mobile/embedded platforms
  • Collaboration with cross-functional teams
  • Python, C++, or Java proficiency
Good to have:
  • Master's or PhD in CS or related field
  • Experience with GenAI solutions
  • Experience in accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with data structures or algorithms.
  • 2 years of experience with software development in Python, C++, or Java, or 1 year of experience with an advanced degree.
  • 1 year of experience developing and deploying machine learning models for audio, including speech processing (e.g., denoising, separation) or generative AI in multi-modal applications (e.g., text, image, video, audio).
  • 1 year of experience with ML systems, including data preprocessing, model training, evaluation for real-time applications on mobile/embedded platforms (e.g., Android), with a focus on audio processing and production performance.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in machine learning principles and model architectures.
  • Experience in model development, including training and optimization.
  • Experience in developing accessible technologies.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google’s Extende Reality (XR) team is developing Augmented Reality (AR) and Virtual Reality (VR) technologies that integrate digital information into the physical world. Our mission is to empower devices like headsets and glasses to understand and interact with the environment from the user’s perspective.

The Extended Reality (XR) Audio Machine Learning team focuses on creating machine learning models to improve audio experiences in XR devices, including speech denoising, separation, conversation detection, and spatial audio. The role address challenges like detecting speech in noisy environments and sub-vocal speech detection.

In this role, you will design and optimize Machine Learning models for voice interfaces in wearable devices, ensuring real-time audio processing to understand users in dynamic environments and contribute to the future of Augmented Reality and Virtual Reality technology.

The Google Augmented Reality team is a group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

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 .

Responsibilities

  • Develop and optimize machine learning models for audio processing, including speech denoising, separation, and conversation detection, ensuring high performance and low latency in XR devices.
  • Collaborate with cross-functional teams, including hardware engineers, product managers, and designers, to ensure seamless integration of ML models into wearable XR devices and systems, focusing on best practices in code quality, performance, and testability.
  • Contribute and maintain technical documentation, providing clear insights into model development, updates, and optimizations based on feedback from product teams and real-world usage.
  • Identify, troubleshoot, and resolve issues related to model performance, analyzing the interaction between hardware, software, and network conditions to optimize audio processing on devices.
  • Design and implement GenAI solutions, leveraging ML infrastructure to improve model accuracy, optimize for real-time deployment, and enhance data processing workflows for robust audio performance in XR applications.

Similar Jobs

Epic Games - Backend Security Programmer (Resource Integrity)

Epic Games

Montreal, Quebec, Canada (On-Site)
1 Month ago
ByteDance - Senior Site Reliability Engineer - Data Infrastructure (San Jose)

ByteDance

San Jose, California, United States (On-Site)
6 Months ago
ByteDance - AI Security Researcher - Security Flow

ByteDance

San Jose, California, United States (On-Site)
6 Months ago
N-iX - Senior Full-Stack Engineer

N-iX

Ukraine (Hybrid)
1 Month ago
Gaming Innovation Group  - Infrastructure Engineer

Gaming Innovation Group

Andalusia, Spain (Hybrid)
1 Month ago
Netflix - Machine Learning Engineer (L5) - Content & Media ML Foundations

Netflix

United States (Remote)
3 Months ago
Google - Software Engineer II, Applied AI

Google

Kraków, Lesser Poland Voivodeship, Poland (On-Site)
1 Month ago
Hitachi - Artificial Intelligence - JBU

Hitachi

Chennai, Tamil Nadu, India (On-Site)
7 Months ago
NVIDIA - Deep Learning Performance Architect

NVIDIA

Hyderabad, Telangana, India (Hybrid)
2 Months ago
Google - Software Engineer III, AI/ML, Cloud AI

Google

Sunnyvale, California, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

ION - Technical Consultant - Endur

ION

Uniondale, New York, United States (On-Site)
7 Months ago
Google - Software Engineer, Early Career, Chrome

Google

Mexico City, Mexico City, Mexico (On-Site)
1 Month ago
Google - Senior Software Engineer, ChromeOS

Google

Taipei City, Taiwan (On-Site)
1 Month ago
Gaming Innovation Group  - Big Data Engineer

Gaming Innovation Group

Manchester, England, United Kingdom (Hybrid)
1 Month ago
Google - Customer Solutions Engineer

Google

Seattle, Washington, United States (On-Site)
1 Month ago
PwC - Tester/Testerka automatyzujący/a (freelance)

PwC

Warsaw, Masovian Voivodeship, Poland (Hybrid)
7 Months ago
Netflix - Senior Data Engineer, Commerce Product

Netflix

Mexico City, Mexico City, Mexico (On-Site)
2 Months ago
Microsoft - Principal Machine Learning (ML) Engineering Manager

Microsoft

(On-Site)
1 Month ago
ByteDance - Software Development Engineer in Test

ByteDance

San Jose, California, United States (On-Site)
1 Month ago
Google - Software Engineer II, Account Threats

Google

Zürich, Zurich, Switzerland (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in Mountain View, California, United States

Keywords Studios - Senior Research Associate - AI

Keywords Studios

California, United States (Remote)
1 Month ago
Nintendo - Program Manager

Nintendo

Redmond, Washington, United States (Hybrid)
1 Month ago
NVIDIA - System Design Engineer

NVIDIA

Santa Clara, California, United States (On-Site)
1 Month ago
Next Level Business Services - Software Developer (Full Time)

Next Level Business Services

Redmond, Washington, United States (On-Site)
7 Months ago
Tencent - Senior Procurement Manager, Game Marketing

Tencent

Los Angeles, California, United States (On-Site)
3 Months ago
Google - Technical Program Manager III, NPI Test Engineering, Cloud Infrastructure

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
ByteDance - Site Reliability Engineer, Edge Services

ByteDance

Boston, Massachusetts, United States (On-Site)
3 Months ago
ByteDance - Senior Data Scientist

ByteDance

New York, New York, United States (On-Site)
1 Month ago
Games For Love - Esports Game Player

Games For Love

Lynnwood, Washington, United States (Remote)
9 Months ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Microsoft - Member of Technical Staff, AI - Pre-Training

Microsoft

Redmond, Washington, United States (On-Site)
1 Month ago
CharacterAI - Research Engineer, Post-Training

CharacterAI

New York, New York, United States (On-Site)
1 Month ago
Google - Senior Software Engineer, SDLC, Gemini Code Assist

Google

Kirkland, Washington, United States (On-Site)
1 Month ago
Google - Technical Program Manager III, Infrastructure Resource Analytics

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
NVIDIA - Director of Product - AI Training Platform Software

NVIDIA

Canada (On-Site)
2 Months ago
Keywords Studios - Research Associate - AI

Keywords Studios

(Remote)
2 Months ago
Zoox - Senior/Staff Software Engineer - Prediction Integration

Zoox

Foster City, California, United States (Hybrid)
7 Months ago
N-iX - Senior Data Scientist/AI Engineer

N-iX

Poland (Hybrid)
1 Month ago
Meta - Software Engineer, Machine Learning

Meta

Fremont, California, United States (Remote)
6 Months ago
Microsoft - Senior Researcher – Artificial Specialized Intelligence

Microsoft

Vancouver, British Columbia, Canada (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

London, England, United Kingdom (On-Site)

Fremont, California, United States (On-Site)

Bengaluru, Karnataka, India (On-Site)

Reston, Virginia, United States (On-Site)

Sunnyvale, California, United States (On-Site)

New Taipei, New Taipei City, Taiwan (On-Site)

Dublin, County Dublin, Ireland (On-Site)

San Jose, California, United States (On-Site)

Mexico City, Mexico City, Mexico (On-Site)

View All Jobs

Get notified when new jobs are added by Google

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug