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Shure

Audio products and microphone systems

Applied Research Science Intern

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Summer 2027$23 - $43 /hr

About the Job

Requirements

  • Be in process of a PhD or advanced Master's in machine learning or in application of deep learning in related scientific or engineering fields.
  • Have deep experience applying machine learning to images or video, audio, natural language text, and/or other digital signal processing, transformation, or generation.
  • Have demonstrated experience with leading machine learning tools and libraries.
  • Have good verbal and written communication skills.
  • Be currently authorized to work in the United States on a full-time basis; the employer will not sponsor work visas.

Responsibilities

  • Work with a team of data scientists and engineers to prototype and realize novel use cases enabled by machine learning and artificial intelligence.
  • Solve problems through research, collection or creation of data, and architecture, training, and evaluation of deep neural network models and other advanced algorithms.
  • Adapt models for implementation in a range of platform environments.

Desired Qualifications

  • Experience or understanding of common machine-learning operations patterns.
  • Experience with full-stack development.

About the Company

Shure

Audio products and microphone systems

Shure designs, manufactures, and supports professional audio equipment for global use. Its product lineup includes wired and wireless microphones, networked audio systems, signal processors, conferencing and discussion systems, and earphones and headphones. The company applies expertise in acoustics, wireless technology, and digital signal processing to create devices that capture and reproduce sound with clarity and reliability, and to enable seamless audio workflows across live sound, studios, and corporate environments. What sets Shure apart is its century-long track record of delivering durable, high-quality audio gear, a broad ecosystem of complementary products, and strong support for professional users. The company aims to provide transparent, natural-sounding audio experiences across diverse settings, from performances and broadcasts to conferences and everyday listening.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Niles, IL
Founded
1925

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