Audio ML Systems Engineer – Real-Time DSP Pipelines

Google; Phoenix (AZ); On-site; USD 57,308,000 - 85,962,000; Full time

Job summary

Google in Phoenix, USA is seeking an Audio/ML Staff Software Engineer to advance real-time, low-latency audio ML pipelines and to develop novel ML models for audio processing. You will own key subsystems and work with researchers and engineers across teams in a fast-paced, matrixed environment.

You will drive ML-based dereverberation, audio quality assessment, and scalable pipelines while shaping the direction of the project and contributing to product delivery within Google's expansive

Qualifications

• Four year college education or equivalent experience.
• 2 years of programming experience and data structures/algorithms.
• 2 years of ML-based audio signal processing experience.
• Experience with ML for dereverberation and audio quality assessment.
• Experience building real-time, low-latency, resource-constrained audio/ML pipelines.

Responsibilities

• Oversee project needs, deadlines, and expectations.
• Own and implement key subsystems of ML-for-audio signal processing.
• Contribute to planning and design of the overall audio pipeline.
• Identify and drive cross-functional opportunities, focusing on ML development.
• Advance product development and reliability of audio processing.

Skills

ML-based audio processing

Real-time audio pipelines

Cross-functional collaboration

System design

ML research

Education

Bachelor's degree or equivalent

Job description

Google in Phoenix, USA is seeking an Audio/ML Staff Software Engineer to advance real-time, low-latency audio ML pipelines and to develop novel ML models for audio processing. You will own key subsystems and work with researchers and engineers across teams in a fast-paced, matrixed environment.

You will drive ML-based dereverberation, audio quality assessment, and scalable pipelines while shaping the direction of the project and contributing to product delivery within Google's expansive