Audio Machine Learning Co-op
Bose Corporation1 day ago
Framingham, MA, USAIntern
Responsibilities
- Prototype, implement, and evaluate machine learning algorithms for real-time audio processing.
- Curate and develop internal resources and present research findings to an interdisciplinary community.
- Integrate novel solutions into existing systems and platforms to demonstrate proof-of-concept capabilities.
- Contribute to projects that may be shipped to Bose customers, patented, or submitted to research conferences.
Requirements
- Pursuing or recently finished a graduate-level degree in machine learning, computer science, music technology, or a related field.
- Practical knowledge of applied audio machine learning using TensorFlow or PyTorch; TFLite or ONNX experience is a plus.
- Audio digital signal processing experience using Python, MATLAB, and/or C/C++.
- Hands-on experience with at least one of audio source separation, speech enhancement, microphone array signal processing, Tiny ML, or generative audio modeling.
- Familiarity with spatial sound synthesis and/or room acoustics simulation or analysis is preferred.
- Strong communication skills and the ability to present work to a large interdisciplinary community.
Benefits
- Full-time, 40-hour-per-week co-op from January 11 through June 25, 2027.
- No relocation assistance is available.
- Benefits include bonus programs, comprehensive health and welfare benefits, a 401(k) plan, wellbeing perks, and an employee discount.
Categories
About Bose Corporation
Bose Corporation builds consumer speakers, soundbars, and noise‑cancelling headphones; professional and aviation headsets; and OEM automotive audio systems. It sells direct online and in retail, and supplies audio technology to carmakers through manufacturing partners. Founded in 1964 and privately held, Bose is headquartered in Framingham, Massachusetts, and operates globally across home, portable, automotive, and enterprise audio markets.