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Audio Machine Learning Intern

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Bose Corporation

Mar 25

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data

Requirements

  • Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
  • At a minimum, the candidate should be familiar with the material covered in introductory courses in digital signal processing, linear algebra, statistics, and data structures.
  • Skills:
  • Practical knowledge of applied audio ML and digital signal processing (DSP).
  • Practical experience with at least one of the following research topics: source separation, speech enhancement, microphone array signal processing (e.g., beamforming), generative audio modeling, model compression (e.g., quantization, pruning).
  • Familiarity with methods for spatial audio synthesis and/or room acoustics analysis/simulation is a plus.
  • Experience developing ML algorithms in Python, TensorFlow/PyTorch and/or C/C++.
  • Familiarity with standard version control practices.
  • Familiarity with the following technologies is also preferred: TFLite, ONNX and/or AWS stack. • Strong communication skills. You will present your work internally to a large, interdisciplinary audience on a regular basis.

Responsibilities

  • The majority of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and regularly presenting your findings.
  • You will integrate your novel solutions into new and existing systems and platforms to deliver new proofs of concept.
  • You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interspeech, etc.).

Bose Corporation

Sound Is Power

Manufacturing & Electronics
Industry
5001-10,000
Employees
1964
Founded Year

Mission & Purpose

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.