Machine Learning Research Engineer Intern

Join Our Internship Program at Bose

About the Program

At Bose, we are looking for students who are obsessively curious about 'what's next'. Our Internship Program offers you the chance to gain hands-on experience with our products and learn from the best in the business. Over a period of 10-12 weeks, you will work on a specific project, integrating into your team and making a real impact on the future of Bose and your career.

The Role

We are seeking an Audio Machine Learning Research Intern to join our research lab this summer. In this role, you will help build our next generation of wearable and software products empowered by deep learning, enabling people to hear better, focus better, and achieve more.

Responsibilities

Develop, train, and evaluate deep learning algorithms with a focus on audio problems such as acoustic scene classification and sound event detection.
Research, implement, and evaluate a variety of published approaches and algorithms for problems in machine learning and audio signal processing.

Minimum Qualifications

Recent graduate or currently pursuing a M.S. or PhD in computer science, electrical engineering, machine learning, music technology, or a related field.
Strong programming background with 2+ years of experience in Python.
Experience in implementing deep neural networks with Tensorflow, Keras, PyTorch, etc.
Familiarity with the latest research in deep learning for audio and ability to implement published algorithms.
Experience with cross-group and cross-culture collaboration.
High levels of creativity and quick problem-solving capabilities.

Preferred Qualifications

Demonstrated software engineering experience via an internship, work experience, or coding competitions.
Strong publication record demonstrating innovative research in venues such as DCASE, ISMIR, ICASSP, etc.
Strong knowledge and experience working with audio and digital signal processing.

Why Bose?

Bose is an equal opportunity employer committed to inclusion and diversity. 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 are committed to working with and providing reasonable accommodations to individuals with disabilities.

Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice.

Benefits
Extracted with AI

Networking opportunities
Exposure to senior leadership
Hands-on experience
Diversity and inclusion commitment

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