Machine Learning and DSP Research Intern

Bose Corporation • Framingham, MA

8d

About The Position

We're looking for a Machine Learning (ML) & Digital Signal Processing (DSP) Research Intern to join the Advanced Systems Research group to work within the Automotive Active Sound Management space. In this role, the selected candidate will help us develop novel solutions for noise cancellation in cars by leveraging current advances at the intersection of ML and noise control. This person will design and validate new algorithms to improve noise cancellation performance, customization, scalability and generalizability of deployed solutions. The primary working language will be Python and/or MATLAB with an ML backend of TensorFlow/Pytorch. They will be responsible for collaborating with others in the team and working at the interface of DSP and ML based algorithms. This person will need to be comfortable working with large amounts of data collected in the laboratory and in the field. Part of their work may involve working with hardware during model deployment. This work will have a direct impact across the automotive division as well as other divisions focused on noise cancellation using hybrid DSP-ML techniques.

Requirements

• Masters degree in Electrical Engineering, Computer Science, Acoustical Engineering, Mechanical Engineering or a related field.
• Strong working knowledge of Machine Learning and Data Analysis supported by a background in Digital Signal Processing.
• Basic and advanced courses in ML and DSP.
• Strong communication skills with a proven track record of publishing research articles.

Nice To Haves

• Doctoral degree, 3rd year PhD and above

Responsibilities

• Literature review of latest advancements in ML based algorithms for noise control applications
• Help modularize our current classical-DSP based solutions using machine learning
• Build on existing framework and deliver a deployable model on hardware

What This Job Offers

• Career Level: Intern