Audio ML Intern: Real-Time Sound AI Innovation

Bose Corporation; Bloomfield Hills (MI); On-site; USD 55,000 - 70,000; Full time

Benefits offered by this job

Bonus programs

Health and welfare benefits

401(k) plan

Employee discount

Job summary

Bose Corporation is seeking an Audio Machine Learning Intern to contribute to the development of AI-powered audio technologies. You will work with experts in machine learning, DSP, software engineering, and psychoacoustics to research, prototype, and evaluate novel audio algorithms.

You will have the chance to move ideas from research to proof of concepts, potentially influencing future Bose products, patents, and publications, while collaborating across disciplines in a dynamic environment.

Qualifications

• Currently pursuing or recently completed an MS or 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.

Skills

Problem solving

Collaboration

Communication

Education

MS or PhD in Computer Science or Electrical Engineering or ML or Music Technology

Tools

PyTorch

TensorFlow

Keras

MATLAB

C/C++

Job description

Bose Corporation is seeking an Audio Machine Learning Intern to contribute to the development of AI-powered audio technologies. You will work with experts in machine learning, DSP, software engineering, and psychoacoustics to research, prototype, and evaluate novel audio algorithms.

You will have the chance to move ideas from research to proof of concepts, potentially influencing future Bose products, patents, and publications, while collaborating across disciplines in a dynamic environment.