Base: $40.00-$51.25 ph; bonus/equity: not specifie...
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Applied audio machine learning experience
Tensorflow or pytorch framework proficiency
Audio dsp skills in python, matlab, or c++
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Bose Corporation is seeking an Audio Machine Learning Co-op for a full-time position from July 13 through December 18, 2026, focused on developing AI-powered audio processing algorithms. Candidates should have a background in machine learning or related fields, and the role offers competitive compensation and benefits.
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Job Summary
The role focuses on prototyping and implementing novel AI-powered audio processing algorithms that run in real-time on physical devices.
Candidates will integrate solutions into existing systems with the potential to ship products, apply for patents, or publish at top-tier conferences.
Bose offers a competitive hourly rate ranging from $40.00 to $51.25 along with comprehensive health benefits and a 401(k) plan.
Matching Summary
Match Score: 75
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Bose Corporation is seeking an Audio Machine Learning Co-op for a full-time position from July 13 through December 18, 2026, focused on developing AI-powered audio processing algorithms. Candidates should have a background in machine learning or related fields, and the role offers competitive compensation and benefits.
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Salary
Base: $40.00-$51.25 per hour; Bonus/Equity: Not specified; Benefits: Comprehensive health, welfare, 401(k), employee discount
Skills & Requirements
Must-have
Applied audio machine learning experience
TensorFlow or PyTorch framework proficiency
Audio DSP skills in Python, Matlab, or C++
Hands-on research in audio source separation
Full-time availability July to December 2026
Nice-to-have
Familiarity with Tiny ML techniques
Experience with generative audio modelling
Knowledge of spatial sound synthesis methods
Room acoustics simulation expertise
Strong interdisciplinary communication skills
Key Requirements
Graduate-level degree in ML, CS, or Music Technology
Must be available full-time from July 13 to December 18, 2026