Bose
Audio Machine Learning Co-op
US, MA - Framingham · Intern · Internship
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Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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The bottom of this range ($40,000) is below the Level I prevailing wage of $114,275. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- The twist is that our algorithms must run in real-time, on physical devices, for applications such as voice pickup, hearing augmentation and ones we haven't even thought of yet.
- Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain.
- We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities
- Most of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and presenting your findings.
Requirements
- Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
- Candidates must be available to work full-time (40 hours per week) from January 11- June 25, 2027.
Skills
- Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++).
- Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus.
- Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary.
- Join us and make your next career move a mic-drop.
- Let's Make Waves.
Compensation
- Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary.
Benefits
- The goal of the Audio Machine Learning Research team is to develop novel AI-powered audio processing algorithms.
- As part of the team, you will work with experts in machine learning (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algorithms.
Company info
- At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence.
- Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
- Today, Bose Corporation is entering an exciting new era.
- Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences.
- We invite you to join us in this transformation.
- Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
- You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, and/or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interpeech, etc.).
This listing is sourced directly from Bose's careers page and normalized into a canonical job model.