Bose Machine Learning Summer Internship

Bose Machine Learning Summer Internship

A wonderful summer machine learning internship opportunity is currently open for applications at Bose. It is a full-time program is typically for the summer season and will last about three months in Framingham, MA.

This position has been created to help in exploring and building ML-based experiences for future wearable products. Those who will be hired will get exposure to challenging problems in audio understanding, including event and scene detection and classification.

Besides, the program will give interns the chance to learn directly from machine learning professionals who will help interns throughout their journey. Plus, it will provide the opportunity to pick up new skills and expertise and help establish a strong professional network.

Bose Corporation is an American manufacturing company founded in 1964 by Amar Bose. It is the subsidiary company of Massachusetts Institute of Technology and is headquartered in Framingham, Massachusetts. It is especially known worldwide for its audio products. The mission of this company is to develop new technologies with real customer benefits.

Internship Location:

This program is all set to take place in Framingham, MA.

Internship Duration:

Interns will work for 3 months.

Internship Benefits:

The machine learning interns at Bose will get real work experience and new skills by working on real and meaningful projects with professionals; make new connections with colleges and employers that can be used as references in the future; get great mentorship and training; work on real office setting; work flexibly.

Eligibility Requirements:

There are the requirements that must be met to be able to apply for this program:

  • Degree in progress in computer science, mathematics, or related field with a specialization in machine learning
  • Experience in signal processing or NLP desirable
  • Fluent in at least one of the following: Python, Java
  • Experience with a deep learning framework such as TensorFlow or PyTorch
  • Passionate, creative, and collaborative mindset

Eligible Country:

United States

How to Apply:

Please send your application online.

Application Deadline:

The applications will remain open until the post is filled.

Apply Now