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Software Engineer III, Audio Machine Learning, Pixel

New Taipei City, Taiwan (On-site)

Software Engineer III, Audio Machine Learning, Pixel

1 Hour ago • 2 Years + • Research & Development

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

prototyping

python

pytorch

networking

Job Description

As a Software Engineer III, Audio Machine Learning at Google's Pixel team, you'll develop and optimize machine learning models for audio applications on Pixel devices. Responsibilities include model training, inference optimization within the Android Kernel/HAL, and designing audio and speech algorithms. You'll collaborate with cross-functional teams (Google DeepMind, Google Silicon) to deliver audio features, from prototyping to deployment, impacting the Google audio technology roadmap. The role involves contributing to the development of audio pipelines through offline simulation and real-time on-device hardware testing. You'll be a key player in shaping the future of audio experiences on Pixel devices.

Must have:

Bachelor's degree or equivalent experience
2+ years software development experience
Machine learning principles and model architectures experience
Audio/speech model development and deployment experience
Model training and optimization
Collaboration with cross-functional teams

Good to have:

PhD in relevant field
Generative audio models and audio source separation experience
Experience at ICASSP, Interspeech
Python, TensorFlow, JAX, PyTorch experience

Minimum qualifications:

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.
Experience with machine learning principles and model architectures.
Experience in audio and speech related model development and deployment.

Preferred qualifications:

PhD in Electrical Engineering, Computer Engineering, Acoustics, or a similar field.
Experience in generative Audio Models and Audio Source Separation.
Experience with International Conferences such as ICASSP, Interspeech, etc.
Experience in Python programming and ML framework (e.g., TensorFlow, JAX, and PyTorch).

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.

As an Embedded Signal Processing Engineer at Android Pixel, you will be responsible for 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 interact 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.

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.

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About The Company

Google

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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.