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We believe sound is the most powerful force on earth.
The Role
Research and develop real-time AI algorithms for audio source separation, target sound extraction, and speech enhancement. Train and evaluate models for challenging acoustic conditions, including overlapping speakers, noise, reverberation, and motion. Collaborate with DSP and embedded software teams to deploy efficient models on physical devices, balancing perceptual quality, latency, memory, and computational requirements. Contribute to product demonstrations, patents, and conference publications.
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
Research Scientist - Audio Source Separation
Description
The goal of our 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 dynamic awareness, hearing augmentation, agentic perception, voice pickup, content enhancement, and ones we haven't even thought of yet. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop next-generation algorithms that isolate, extract, or suppress individual sound sources from microphone recordings, sometimes augmented by other sensor signals. Applications include voice pickup, hearing augmentation, and new audio experiences that must ultimately run in real time on physical devices.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
• Research, prototype, train, and evaluate novel source separation and extraction algorithms for speech and other real-world sounds.
• Develop approaches for single- and multi-microphone recordings, including spatial cues and optional auxiliary sensors.
• Investigate robust separation in challenging conditions such as overlapping talkers, noise, reverberation, and motion.
• Evaluate perceptual quality, separation performance, generalization, latency, memory, and computational requirements.
• Collaborate with DSP and embedded software teams to deploy models in real-time demonstrations and product platforms; contribute to patents and conference papers.
Education
Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience.
Skills
• Deep hands-on experience in audio source separation, target sound extraction, speech enhancement, or related neural audio processing.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Strong knowledge of audio DSP, time-frequency methods, and microphone array or spatial signal processing.
• Experience training and evaluating audio models in PyTorch; proficiency in Python and familiarity with C/C++ is a plus.
• Understanding of objective and perceptual evaluation methods and the tradeoffs involved in real-time low-power inference.
• Experience with multimodal or sensor-conditioned separation, ONNX/TFLite, or embedded deployment is a plus.
• Strong communication skills; publications at conferences such as ICASSP, Interspeech, NeurIPS, or similar are welcome but not required.
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: $165,400-$227,500.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
Research Scientist - Audio Source Separation
Description
The goal of our 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 dynamic awareness, hearing augmentation, agentic perception, voice pickup, content enhancement, and ones we haven't even thought of yet. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop next-generation algorithms that isolate, extract, or suppress individual sound sources from microphone recordings, sometimes augmented by other sensor signals. Applications include voice pickup, hearing augmentation, and new audio experiences that must ultimately run in real time on physical devices.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
• Research, prototype, train, and evaluate novel source separation and extraction algorithms for speech and other real-world sounds.
• Develop approaches for single- and multi-microphone recordings, including spatial cues and optional auxiliary sensors.
• Investigate robust separation in challenging conditions such as overlapping talkers, noise, reverberation, and motion.
• Evaluate perceptual quality, separation performance, generalization, latency, memory, and computational requirements.
• Collaborate with DSP and embedded software teams to deploy models in real-time demonstrations and product platforms; contribute to patents and conference papers.
Education
Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience.
Skills
• Deep hands-on experience in audio source separation, target sound extraction, speech enhancement, or related neural audio processing.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Strong knowledge of audio DSP, time-frequency methods, and microphone array or spatial signal processing.
• Experience training and evaluating audio models in PyTorch; proficiency in Python and familiarity with C/C++ is a plus.
• Understanding of objective and perceptual evaluation methods and the tradeoffs involved in real-time low-power inference.
• Experience with multimodal or sensor-conditioned separation, ONNX/TFLite, or embedded deployment is a plus.
• Strong communication skills; publications at conferences such as ICASSP, Interspeech, NeurIPS, or similar are welcome but not required.
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: $165,400-$227,500.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
- Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience
- Hands-on experience in audio source separation, target sound extraction, speech enhancement, or related neural audio processing
- Experience with audio DSP, time-frequency methods, microphone arrays, or spatial signal processing
- Experience training and evaluating audio models in PyTorch
- Understanding of objective and perceptual evaluation methods and real-time, low-power inference tradeoffs
- Strong communication skills
- Proficiency in Python
- Familiarity with C or C++
- Experience with multimodal or sensor-conditioned separation, ONNX, TensorFlow Lite, or embedded deployment
- Publications at conferences such as ICASSP, Interspeech, or NeurIPS
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, pharmacy, and vision for employees and dependents, alongside employee assistance programs and mental-health support. These offerings are consistently presented as comprehensive pillars of the package.
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Leave & Time Off Breadth — Paid vacation, personal and sick time, company holidays, and multiple paid leaves are part of the offering. Some roles also experience a year‑end holiday shutdown, though applicability can vary.
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Retirement Support — Retirement programs feature a 401(k) with employer contributions, a Core Contribution plan, and, for eligible groups, a traditional pension, plus life insurance and financial coaching. This mix is highlighted as a meaningful long‑term support structure.
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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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