Principal Audio DSP/ML Engineer- Audio Technology

Posted 3 Days Ago
Hiring Remotely in Massachusetts, USA
Remote or Hybrid
216K-297K Annually
Entry level
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
We believe sound is the most powerful force on earth.
The Role
Develop and productize machine learning and digital signal processing algorithms for speech and audio applications, including noise suppression, echo cancellation, beamforming, spatial audio, and enhancement. Research modern deep learning approaches, prototype with Python or MATLAB, and deploy optimized real-time solutions on consumer hardware. Collaborate across research, systems engineering, and product development to deliver robust audio technologies at scale.
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
Principal Audio DSP/ML Engineer - Audio Technology
We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware.
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:
  • Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement
  • Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data.
  • Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers.

Qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
  • Hands-on experience with machine learning applied to audio or time-series data.
  • Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis).
  • Experience with Python and/or MATLAB for research and prototyping.
  • Solid understanding of audio systems and acoustics.
  • Strong communication skills.

Preferred Qualifications:
  • MS or PhD in a relevant technical field.
  • Deep practical knowledge of:
    • Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite.
    • Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++.
  • Experience with speech or audio ML tasks, such as:
    • Audio source separation / speech enhancement
    • Echo reduction
    • Microphone array signal processing
  • Strong software engineering practices (debugging, profiling, version control).
  • Proficiency in C and/or C++ for performance-critical systems.
  • Publications, patents, or demonstrated innovation in DSP or ML.

What success looks like:
  • You deliver robust, high-quality audio algorithms that work reliably in real-world conditions.
  • You balance audio quality, ML performance, and system constraints effectively.
  • You influence product direction through technical insight and data-driven decisions.
  • Your work ships as both licensed audio technology at scale.

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 Remote, California is: $216,000-$297,000.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

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field
  • Hands-on experience applying machine learning to audio or time-series data
  • Strong fundamentals in digital signal processing, including sampling, filtering, FFTs, and spectral analysis
  • Experience using Python and/or MATLAB for research and prototyping
  • Solid understanding of audio systems and acoustics
  • Strong communication skills
  • Master's or PhD in a relevant technical field
  • Practical knowledge of PyTorch, ONNX, TensorFlow, and/or TensorFlow Lite
  • Audio DSP experience using Python, MATLAB, and/or C/C++
  • Experience with audio source separation or speech enhancement
  • Experience with echo reduction
  • Experience with microphone array signal processing
  • Strong software engineering practices, including debugging, profiling, and version control
  • Proficiency in C and/or C++ for performance-critical systems
  • Publications, patents, or demonstrated innovation in DSP or machine learning

What the Team is Saying

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Bose Compensation & Benefits Highlights

  • Healthcare Strength — Company materials outline medical, dental, vision for employees and dependents, mental-health EAP, a 24/7 nurse line, wellbeing apps, and FSA/HSA options. Feedback suggests this breadth delivers strong day‑to‑day and mental‑health coverage.
  • Retirement Support — The package includes a 401(k) with employer match plus a separate Core Contribution plan, alongside life and disability insurance and financial coaching. Company reports also reference a defined‑benefit pension for some U.S. employees, enhancing long‑term security.
  • Wellbeing & Lifestyle Benefits — A generous employee product‑purchase program and external discount programs are highlighted, along with a Customer Validation Program that lets employees test pre‑release products. Feedback suggests these brand‑linked perks are a standout element of the offer.

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The Company
HQ: Framingham, MA
2,900 Employees
Year Founded: 1964

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

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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