Audio Machine Learning Intern/Co-op

Bose Corporation

. Develop, train, and evaluate machine learning and deep learning algorithms for audio applications .

Posted 10/7/2026full-timeUnited StatesEntry Level💰 $40 - $51 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and evaluating machine learning and deep learning algorithms for audio applications, with a strong foundation in audio signal processing and experience in prototyping and integrating ML solutions. Collaborates effectively across disciplines to present research findings and contribute to innovative audio experiences.

Highest-signal resume keywords

Machine Learning Model DevelopmentDeep Learning Frameworks (PyTorch, TensorFlow, Keras)Audio Signal ProcessingProgramming (Python, C/C++, MATLAB)Research Publications in Machine Learning or Audio

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningAudio Signal ProcessingDigital Signal ProcessingPrototypingDataset DevelopmentModel Deployment (TFLite, ONNX)Speech EnhancementSource SeparationGenerative Audio

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

PyTorchTensorFlowKerasMATLABTinyMLSpatial Audio Technologies

Industry Keywords

Audio Machine LearningMusic TechnologyRoom AcousticsAcoustic SimulationResearch Experience

Tech Stack

Tools & technologies

KerasPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Develop, train, and evaluate machine learning and deep learning algorithms for audio applications
Research and implement state-of-the-art approaches in audio machine learning and digital signal processing
Prototype and integrate ML algorithms into software or hardware platforms to demonstrate new audio experiences
Develop and curate datasets, tools, and resources to support ML research and evaluation
Collaborate with researchers and engineers across disciplines to solve challenging audio problems
Present research findings and technical recommendations to Bose's interdisciplinary community
Take ideas from research through proof of concept, with potential contributions to future Bose products, patents, and research publications

Requirements

What you’ll need

Currently pursuing or recently completed an M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Music Technology, or a related field
Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks
Programming experience with Python and familiarity with C/C++, MATLAB, or similar languages
Understanding of audio signal processing and/or digital signal processing fundamentals
Experience with at least one audio ML area, such as speech enhancement, source separation, microphone array processing, TinyML, generative audio, spatial audio, or audio perception
Strong problem-solving, collaboration, and communication skills
Preferred: experience deploying ML models for real-time or resource-constrained applications, including TFLite, ONNX, or similar technologies
Preferred: experience with spatial audio, room acoustics, or acoustic simulation and analysis
Preferred: software engineering experience through internships, research, coursework, or personal projects
Preferred: research publications or demonstrated research experience in machine learning, audio, or signal processing
Preferred: passion for audio, music, machine learning, and creating exceptional sound experiences

Benefits

Comp & perks

Bonus programs
Comprehensive health and welfare benefits
401(k) plan
Exclusive wellbeing perks
Generous employee discount
Compensation tailored to skills, experience, education, and location