Audio Machine Learning Intern/Co-op

Bose Corporation, U.S.A•Framingham, MA

5d•Onsite

About The Position

At Bose, we have a passion for creating extraordinary audio experiences by combining innovative research with cutting-edge technology. We’re looking for an Audio Machine Learning Intern to help develop the next generation of AI-powered audio technologies. In this role you’ll work alongside experts in machine learning, digital signal processing, software engineering, and psychoacoustics to research, prototype, and evaluate novel audio algorithms. Your work may span areas such as speech enhancement, voice pickup, hearing augmentation, spatial audio, and new applications enabled by real-time machine learning. You’ll have the opportunity to take ideas from research through proof of concept, with the potential to contribute to future Bose products, patents, and research publications.

Requirements

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.

Nice To Haves

Experience deploying ML models for real-time or resource-constrained applications, including TFLite, ONNX, or similar technologies.
Experience with spatial audio, room acoustics, or acoustic simulation and analysis.
Software engineering experience demonstrated through internships, research, coursework, or personal projects.
Research publications or demonstrated research experience in machine learning, audio, or signal processing.
Passion for audio, music, machine learning, and creating exceptional sound experiences.

Responsibilities

Develop, train, and evaluate machine learning and deep learning algorithms for audio applications.
Research and implement state-of-the-art approaches in audio ML 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.