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We believe sound is the most powerful force on earth.
The Role
Develop and evaluate real-time machine learning algorithms for audio processing applications, including voice pickup and hearing augmentation. Prototype solutions, integrate them into existing platforms, curate internal resources, present findings, and contribute to customer products, patents, and research publications. The role involves collaboration across machine learning, digital signal processing, software engineering, and psychoacoustics.
Summary Generated by Built In
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.
Job Description
Candidates must be available to work full-time (40 hours per week) from January 11- June 25, 2027. No relocation assistance is available.
THE ROLE
The goal of the Audio Machine Learning Research team is to develop novel AI-powered audio processing algorithms. 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. 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.
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.
- You will integrate your novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
- 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.).
Education:
- Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
Skills:
- 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. You will be presenting your work to a large interdisciplinary community.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $40.00-$51.25 per hour.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
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.
Job Description
Candidates must be available to work full-time (40 hours per week) from January 11- June 25, 2027. No relocation assistance is available.
THE ROLE
The goal of the Audio Machine Learning Research team is to develop novel AI-powered audio processing algorithms. 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. 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.
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.
- You will integrate your novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
- 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.).
Education:
- Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
Skills:
- 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. You will be presenting your work to a large interdisciplinary community.
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $40.00-$51.25 per hour.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
Skills Required
- Must be available full-time, 40 hours per week, from January 11 through June 25, 2027.
- Pursuing or recently completed 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.
- Practical knowledge of audio digital signal processing using Python, MATLAB, and/or C/C++.
- Hands-on experience in at least one relevant research topic: audio source separation, speech enhancement, microphone array signal processing, Tiny ML, or generative audio modeling.
- Strong communication skills and ability to present work to a large interdisciplinary community.
- Familiarity with spatial sound synthesis and/or room acoustics simulation or analysis.
- Experience with TFLite or ONNX.
What the Team is Saying
Kwasi
Engineer, Systems Design
Caitlin
Engineering Project Manager
Sean
PACE Rotational Engineer
Bose
Bose Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, vision, pharmacy, mental-health support, employee assistance programs, wellbeing apps, and a 24/7 nurse line. Coverage extends to dependents, aligning with a comprehensive healthcare offering.
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Retirement Support — Retirement offerings include a 401(k) with employer match plus a Core Contribution plan, alongside disability and life insurance. Some roles or tenures are noted to have defined-benefit pension coverage, considered particularly valuable for longer-term employees.
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Wellbeing & Lifestyle Benefits — Benefits feature paid time off, hybrid work for many roles, education assistance, volunteer time, and notable employee product discounts. The product-purchase program is frequently highlighted as a standout perk.
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The Company
What We Do
At Bose Corporation, we’re powered by our legendary brands — Bose, McIntosh, and Sonus faber — bringing together more than 175 years of combined technical expertise, craftsmanship and artistry. Founded by Dr. Amar Bose, our company is driven by purpose and devoted to advancing what’s possible in audio — creating transformative experiences in the home, on the go, and on the road.
Why Work With Us
At Bose Corp., we’re united by a simple belief: sound is the most powerful force on earth. It moves us, focuses us, connects us. It’s why we exist to invent—advancing science and art—to deliver transformative experiences. Join us to invent what’s next—and unleash the power of sound, together. Let’s Make Waves.
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Bose Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
Framingham, MA HQ
Atlanta
Seoul, Korea
Lisbon, Portugal
Stuttgart, Germany
Tokyo, Japan
Detroit, MI
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