Principal Audio DSP/ML Engineer – Audio Technology

Bose Corporation

. Design and develop audio signal processing and machine learning algorithms for speech and audio applications .

Posted 9/21/2026full-timeRemote • United StatesLead💰 $216,000 - $297,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing audio signal processing and machine learning algorithms, with a strong foundation in digital signal processing and proficiency in applied ML frameworks. Capable of translating research into scalable audio technology solutions while ensuring high-quality performance in real-world applications.

Highest-signal resume keywords

Machine Learning Applied To AudioDigital Signal ProcessingPython And/or MATLABApplied ML Frameworks (PyTorch/ONNX, TensorFlow/TFLite)C And/or C++ Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Audio Signal ProcessingMachine Learning AlgorithmsDigital Signal Processing TechniquesAudio Systems UnderstandingSpeech EnhancementAudio Source SeparationEcho ReductionMicrophone Array Signal ProcessingDebugging And ProfilingVersion Control

Soft Skills

Strong Communication Skills

Tools & Technologies

PythonMATLABCC++PyTorchONNXTensorFlowTFLite

Industry Keywords

Audio TechnologyTime-Series DataReal-Time DeploymentScalable SolutionsDSP Innovation

Tech Stack

Tools & technologies

PythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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