Audio Machine Learning Co-op

Bose Corporation

Audio Machine Learning Co-op developing real-time AI-powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.

Posted 4/23/2026full-timeFramingham • Massachusetts • 🇺🇸 United StatesEntry Level💰 $40 - $51 per hourWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop novel AI-powered audio processing algorithms for real-time applications
Prototype and implement new algorithms in collaboration with experts in ML, DSP, and psychoacoustics
Integrate solutions into existing systems and platforms
Contribute to projects shipped to customers, apply for patents, and/or submit papers to top-tier conferences

Requirements

What you’ll need

Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field
Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++)
Hands-on experience in at least one of the following research topics: Audio source separation, Speech enhancement, Microphone array signal processing, Tiny ML, Generative audio modelling
Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus
Strong communication skills.

Benefits

Comp & perks

Health insurance
401(k) plan
Competitive base pay
Bonus programs
Comprehensive health and welfare benefits
Generous employee discount

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered audio processing algorithmsApplied audio MLAudio DSPTensorFlowPyTorchTFLiteONNXPythonMatlabC/C++

Soft Skills

strong communication skills