You need a Master's degree or PhD in CS, EE, ML, or Music Tech, strong Python/C++ skills, deep learning experience, collaboration skills, creativity, quick problem-solving abilities, and a background in audio and DSP. Software engineering experience and a publication record are preferred.

You will research and implement model compression techniques to optimize deep learning models for audio applications, collaborate with the team to share progress and findings, and work towards maximizing performance on hardware.

Software Engineering

Large

Bose Corporation was founded in 1964 by Dr. Amar G. Bose, then a professor of electrical engineering at the Massachusetts Institute of Technology. Today, the company is driven by its founding principles, investing in long-term research with one fundamental goal: to develop new technologies with real customer benefits. Bose innovations have spanned decades and industries, creating and transforming categories in audio and beyond. Bose products for the home, in the car, on the go and in public spaces have become iconic, changing the way people listen to music.

Manufacturing & Electronics

Bose Corporation

Technology

<ul><li>We are seeking a motivated Audio Machine Learning Research Engineer Intern to join our team and contribute to an exciting project focused on improving the performance of lightweight audio machine learning models utilizing model compression techniques such as knowledge distillation, model pruning, and quantization. As a part of our team, you will be immersed in cutting-edge research and development, working at the intersection of audio signal processing, machine learning, and the end-user experience. The duration of this position is 3 months, starting June 2024 (full-time 40 hours/week).</li></ul>

Currently Studying

Bachelors

Masters

We are seeking a motivated Audio Machine Learning Research Engineer Intern to join our team and contribute to an exciting project focused on improving the performance of lightweight audio machine learning models utilizing model compression techniques such as knowledge distillation, model pruning, and quantization. As a part of our team, you will be immersed in cutting-edge research and development, working at the intersection of audio signal processing, machine learning, and the end-user experience. The duration of this position is 3 months, starting June 2024 (full-time 40 hours/week).

Audio Machine Learning Research Engineer Intern

Requirements

Responsibilities

Bose Corporation

Mission & Purpose