Audio ML Research Intern — Real-Time Sound & DSP

Bose Corporation, U.S.A

Massachusetts

On-site

USD 55,000 - 71,000

Full time

3 days ago

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Benefits offered by this job

Health benefits and wellness programs

401(k) plan

Employee discount

Job summary

Bose Corporation in Framingham, Massachusetts is seeking an Audio Machine Learning Intern to help develop the next generation of AI-powered audio technologies. You’ll research, prototype, and evaluate novel audio algorithms alongside experts in ML, DSP, software engineering, and psychoacoustics, across areas like speech enhancement, spatial audio, and real-time ML.

The role offers hands-on experience from research through proof of concept with potential contributions to Bose products, patents,

Qualifications

Currently pursuing or recently completed an MS/PhD 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.

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.