Machine Learning Research Engineer Intern

Bose - Framingham, MA

Full-time - Intern

Framingham, MA

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The audio machine learning research intern position at Bose offers students the opportunity to gain hands-on experience in developing and evaluating deep learning algorithms focused on audio problems. Interns will work on specific projects for 10-12 weeks, contributing to the creation of next-generation wearable and software products that enhance sound experiences. This role emphasizes collaboration, creativity, and exposure to various areas within the company, allowing interns to connect with senior leadership and expand their professional network.

Responsibilities

• Develop, train, and evaluate deep learning algorithms focused 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.

Requirements

• 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.
• Strong 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.

Nice-to-haves

• 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.

Benefits

• Hands-on experience with products and projects.
• Networking opportunities with senior leadership and other interns.