Principal Audio DSP/ML Engineer – Audio Technology

🕒 September 21

🏄 California, Massachusetts – Remote

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $216k - $297k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Bose Corporation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🚘 Automotive

🏭 Manufacturing

🍽️ Food & Beverage

💰 $430.2k Equity crowdfunding on 2017-12

Automotive • Manufacturing • Food & Beverage

<Bose Corporation> is a global audio equipment company that designs, manufactures, and sells consumer and professional sound products, including headphones, earbuds, speakers, home theater systems, portable PA systems, and aviation headsets. The company operates direct-to-consumer online retail, offers protection plans and trade-in programs, and provides support services like repairs and corporate gifting. Bose emphasizes premium audio performance, noise-cancellation technology, and lifestyle-oriented marketing.

📋 Description

• Design and develop audio signal processing and machine learning algorithms for speech and audio applications • Apply modern ML/deep learning approaches with classical DSP techniques to audio and time-series data • Investigate new modeling approaches • Translate research ideas into practical, scalable solutions experienced by millions of consumers • Work across the full pipeline, from algorithm research and deployment to optimized, real-time deployment on production hardware • Deliver robust, high-quality audio algorithms that work reliably in real-world conditions • Balance audio quality, ML performance, and system constraints • Influence product direction through technical insight and data-driven decisions • Ship work as licensed audio technology at scale

🎯 Requirements

• 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, including sampling, filtering, FFTs, and spectral analysis • Experience with Python and/or MATLAB for research and prototyping • Solid understanding of audio systems and acoustics • Strong communication skills • Deep practical knowledge of applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite • Audio DSP experience using Python, Matlab and/or C/C++ • Experience with speech or audio ML tasks, such as audio source separation, speech enhancement, echo reduction, and 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 ML

🏖️ Benefits

• Bonus programs • Comprehensive health and welfare benefits • 401(k) plan • Exclusive perks designed to support your wellbeing • Generous employee discount • Compensation beyond base salary

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