Audio Machine Learning Intern

Join Bose as an Audio Machine Learning Intern

About the Internship Program

At Bose, we are looking for students who are obsessively curious about 'what's next' to join our Internship Program. This is a unique opportunity to gain hands-on experience with our products and learn from industry leaders. Over the course of three months, you will immerse yourself in the Bose culture, applying classroom knowledge to real-world challenges. By the end of your internship, you will have made a tangible impact on the future of Bose and your career.

Internship Details

Timeframe: June-August 2025
Location: Remote

Role and Responsibilities

As an Audio Machine Learning Intern, you will be part of a team dedicated to developing novel AI-powered audio processing algorithms. These algorithms must run in real-time on physical devices for applications such as voice pickup and hearing augmentation. You will collaborate with experts in machine learning, digital signal processing, software engineering, and psychoacoustics to prototype and implement new algorithms.

Key Responsibilities:

Prototype, implement, and evaluate machine learning algorithms.
Curate and develop internal resources.
Present findings regularly to a large, interdisciplinary audience.
Integrate novel solutions into new and existing systems to deliver proofs of concept.
Contribute to projects that may be shipped to Bose customers.
Apply for patents or submit papers to top-tier AI and signal processing conferences.

Required Skills and Qualifications

Pursuing or recently completed a graduate-level degree in Machine Learning, Computer Science, Music Technology, or a related field.
Familiarity with digital signal processing, linear algebra, statistics, and data structures.
Practical knowledge of applied audio machine learning and digital signal processing.
Experience with source separation, speech enhancement, and microphone array signal processing.
Proficiency in Python, TensorFlow/PyTorch, and/or C++.
Familiarity with TFLite, ONNX, and AWS stack is preferred.
Strong communication skills for presenting work internally.

Why Bose?

Bose is committed to creating an inclusive and diverse work environment. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. We provide reasonable accommodations to individuals with disabilities throughout the application and employment process.

Join us in shaping the future of audio technology and make a real impact at Bose!

Benefits
Extracted with AI

Networking opportunities with senior leadership
Hands-on experience with products
Opportunity to apply for patents
Submit papers to top-tier AI and signal processing conferences

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