Audio Machine Learning Co-op

Bose Corporation

Framingham, Massachusetts, United States
Base: $40.00-$51.25 ph; bonus/equity: not specifie...
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Applied audio ml with tensorflow or pytorch
Audio dsp skills in python, matlab, or c/c++
Hands-on experience in audio source separation
** Bose Corporation is seeking an Audio Machine Learning Co-op to join their team in Framingham, Massachusetts, from July 13 to December 18, 2026. The role involves developing novel AI-powered audio processing algorithms for real-time applications, requiring a graduate-level education in machine learning or a related field, along with practical knowledge in audio machine learning and digital signal processing. **

Job Summary

  • The role focuses on developing novel AI-powered audio processing algorithms that must run in real-time on physical devices.
  • Candidates will integrate novel solutions into existing systems and contribute to projects that may be shipped to customers or published at top-tier conferences.
  • Bose offers competitive compensation ranging from $40.00 to $51.25 per hour along with comprehensive health benefits and a 401(k) plan.

Matching Summary

Match Score: 75

** Bose Corporation is seeking an Audio Machine Learning Co-op to join their team in Framingham, Massachusetts, from July 13 to December 18, 2026. The role involves developing novel AI-powered audio processing algorithms for real-time applications, requiring a graduate-level education in machine learning or a related field, along with practical knowledge in audio machine learning and digital signal processing. **

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 ML with TensorFlow or PyTorch
  • Audio DSP skills in Python, Matlab, or C/C++
  • Hands-on experience in audio source separation
  • Full-time availability July to December 2026

Nice-to-have

  • Familiarity with spatial sound synthesis methods
  • Experience with room acoustics simulation
  • Knowledge of Tiny ML or Generative audio modelling
  • Strong interdisciplinary communication skills

Key Requirements

  • Pursuing or recently finished graduate-level degree
  • Field of study in ML, Computer Science, or Music Technology
  • Full-time work commitment from July 13 through December 18, 2026

Work Rights

Not specified

Tailored Resume

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