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We believe sound is the most powerful force on earth.
The Role
Research and develop real-time AI audio understanding algorithms for physical devices, including sound event detection, localization, acoustic scene analysis, anomaly detection, and multimodal context understanding. Build datasets, train and evaluate deep learning models, optimize inference, and collaborate with DSP and software engineers on product integration. Communicate findings through 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
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 context understanding, dynamic awareness, augmented hearing and ones we haven't yet imagined. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop audio understanding algorithms that enable devices to recognize what is happening in the world around them. Areas of interest include sound event detection and localization (SELD), acoustic scene understanding, unusual or anomalous sound detection, and multimodal context understanding from audio, video, and motion sensors.
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 audio understanding models, from early experiments through real-time deployment on devices.
• Develop robust methods for sound event detection/localization, acoustic anomaly detection, and context-aware audio interpretation.
• Explore multimodal approaches that combine microphone signals with video, IMU, or other sensor data when useful.
• Build and curate datasets and data piplines, evaluation protocols, and demonstrations that measure accuracy, robustness, latency, and compute cost.
• Work with DSP and software engineers to integrate models into proof-of-concept systems and product platforms; communicate results and contribute to patents or conference papers.
Education
Graduate degree (MS or PhD) in machine learning, computer science, electrical engineering, or a related field, or equivalent research experience.
Skills
• Strong hands-on experience with modern audio understanding models, including sound event detection, SELD, acoustic scene analysis, or anomaly detection.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Experience developing and evaluating deep learning models in PyTorch; strong Python skills.
• Understanding of audio representations, DSP, and evaluation metrics for detection, localization, and generalization.
• Experience with multimodal fusion (video, IMU, or other sensors) for context understanding is a plus.
• Experience with efficient inference, causal ML, ONNX/TFLite, embedded ML, or C/C++ 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
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 context understanding, dynamic awareness, augmented hearing and ones we haven't yet imagined. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop audio understanding algorithms that enable devices to recognize what is happening in the world around them. Areas of interest include sound event detection and localization (SELD), acoustic scene understanding, unusual or anomalous sound detection, and multimodal context understanding from audio, video, and motion sensors.
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 audio understanding models, from early experiments through real-time deployment on devices.
• Develop robust methods for sound event detection/localization, acoustic anomaly detection, and context-aware audio interpretation.
• Explore multimodal approaches that combine microphone signals with video, IMU, or other sensor data when useful.
• Build and curate datasets and data piplines, evaluation protocols, and demonstrations that measure accuracy, robustness, latency, and compute cost.
• Work with DSP and software engineers to integrate models into proof-of-concept systems and product platforms; communicate results and contribute to patents or conference papers.
Education
Graduate degree (MS or PhD) in machine learning, computer science, electrical engineering, or a related field, or equivalent research experience.
Skills
• Strong hands-on experience with modern audio understanding models, including sound event detection, SELD, acoustic scene analysis, or anomaly detection.
• Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
• Experience developing and evaluating deep learning models in PyTorch; strong Python skills.
• Understanding of audio representations, DSP, and evaluation metrics for detection, localization, and generalization.
• Experience with multimodal fusion (video, IMU, or other sensors) for context understanding is a plus.
• Experience with efficient inference, causal ML, ONNX/TFLite, embedded ML, or C/C++ 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, computer science, electrical engineering, or a related field, or equivalent research experience
- Hands-on experience with audio understanding models such as sound event detection, sound event localization, acoustic scene analysis, or anomaly detection
- Experience developing and evaluating deep learning models in PyTorch
- Strong Python programming skills
- Understanding of audio representations, digital signal processing, and evaluation metrics for detection, localization, and generalization
- Experience with multimodal fusion involving video, IMU, or other sensor data
- Experience with efficient inference, causal machine learning, ONNX, TensorFlow Lite, embedded machine learning, or C/C++
- 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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