Audio Machine Learning Engineer, Google Beam
San Francisco, CA, USA$207k - $300kFull-timePosted 2w ago
About the role
Google Beam role focusing on advanced audio ML for real-time, low-latency audio processing to enhance communication through Starline; distributed team with multiple US cities and other locations.
Responsibilities
- Define the roadmap and set goals and priorities for the Audio ML effort. Coordinate workstreams with supporting team members. Work closely with research scientists, audio engineers, and software developers to integrate your models into the Starline system and launch groundbreaking audio features.
- Train, evaluate, and fine-tune models for speech enhancement, sound separation, classification, and remixing. Develop and maintain the audio infrastructure in C++, ensuring scalability, reliability, and efficiency.
- Optimize model inference for real-time, low-latency performance on both CPU and GPU platforms.
- Design and implement data processing pipelines to prepare and augment training data, leveraging techniques like TFRoomSim and automated labeling.
- Polish models and infrastructure to deliver optimal processing. Participate in On-Duty rotations to address alerts and concerns across the Audio stack, including diagnosing and triaging bugs and issues.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience working with and evaluating audio or speech processing ML models.
- 5 years of experience with speech enhancement, audio quality assessment, audio signal processing, and sound separation.
- 5 years of experience working in C++ and Python to develop, integrate, and maintain code.
- 5 years of experience analyzing problems, designing solutions, and implementing them with code.
Skills
Required:Audio and speech processing ML modelsSpeech enhancementC++ and Python programmingModel training and evaluation
Last updated Oct 23, 2026. Interested? Apply on the company site.
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