Audio ML Intern: Build Next-Gen Real-Time Sound

Bose Corporation

Framingham (MA)

Presencial

USD 55.000 - 72.000

A tiempo parcial

hace 7 horas
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Wellbeing benefits
Employee discount

Descripción de la vacante

At Bose Corporation, we are seeking an Audio Machine Learning Intern to help develop the next generation of AI-powered audio technologies. You’ll collaborate with experts in machine learning, digital signal processing, software engineering, and psychoacoustics to research, prototype, and evaluate novel audio algorithms spanning speech enhancement, voice pickup, spatial audio, and real-time ML applications.

You’ll move ideas from research through proof of concept, with the potential to contribute

Formación

  • Currently pursuing or recently completed an M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Music Technology, or a related field.
  • Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks.
  • Programming experience with Python and familiarity with C/C++, MATLAB, or similar languages.
  • Understanding of audio signal processing and/or digital signal processing fundamentals.
  • Experience with at least one audio ML area, such as speech enhancement, source separation, microphone array processing, TinyML, generative audio, spatial audio, or audio perception.
  • Strong problem‑solving, collaboration, and communication skills.

Responsabilidades

  • Develop, train, and evaluate machine learning and deep learning algorithms for audio applications.
  • Research and implement state-of-the-art approaches in audio ML and digital signal processing.
  • Prototype and integrate ML algorithms into software or hardware platforms to demonstrate new audio experiences.
  • Develop and curate datasets, tools, and resources to support ML research and evaluation.
  • Collaborate with researchers and engineers across disciplines to solve challenging audio problems.
  • Present research findings and technical recommendations to Bose's interdisciplinary community.

Conocimientos

PyTorch
TensorFlow
Keras
Python
C/C++
MATLAB

Educación

MS or PhD in CS/EE/ML/Music Technology

Herramientas

PyTorch
TensorFlow
Keras

Descripción del empleo

At Bose Corporation, we are seeking an Audio Machine Learning Intern to help develop the next generation of AI-powered audio technologies. You’ll collaborate with experts in machine learning, digital signal processing, software engineering, and psychoacoustics to research, prototype, and evaluate novel audio algorithms spanning speech enhancement, voice pickup, spatial audio, and real-time ML applications.

You’ll move ideas from research through proof of concept, with the potential to contribute

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