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Shure

Audio products and microphone systems

Audio Applied Research Science Intern

Applied Machine Learning +1Confirmed live in the last 24 hours
Internship · Summer 2027Niles, IL, USA$23 - $43 /hrRemote

About the Job

Requirements

  • Currently pursuing a PhD or advanced Master's degree in Electrical Engineering, Computer Science, Mathematics, Statistics, Physics, Data Science, Machine Learning, or a related quantitative field.
  • Have demonstrated research or project experience in machine learning, deep learning, or artificial intelligence.
  • Have experience applying machine learning techniques to audio, speech, digital signal processing, multimedia, or related domains.
  • Be proficient with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, JAX, or equivalent.
  • Have strong programming skills in Python and experience working with scientific computing tools.
  • Be able to independently investigate complex technical challenges and rapidly prototype solutions.
  • Have strong written and verbal communication skills.

Responsibilities

  • Conduct research and develop machine learning solutions for challenging audio problems.
  • Collect, create, and curate datasets for model development and evaluation.
  • Design, train, and evaluate deep learning models for audio applications, including single- and multi-channel audio processing, speech enhancement, music enhancement, audio classification, and other audio intelligence and signal processing tasks.
  • Investigate and implement state-of-the-art machine learning architectures and techniques.
  • Optimize and adapt models for deployment across a variety of hardware and software platforms.
  • Apply modern machine learning engineering practices, including shared codebases, reusable toolkits, experiment tracking, and reproducible workflows.
  • Document research findings, experimental results, and technical recommendations using collaborative documentation tools.
  • Present technical results and insights to research and engineering teams.

Desired Qualifications

  • Have experience with audio signal processing, acoustics, speech processing, or music information retrieval.
  • Be familiar with MLOps practices, including experiment tracking, model versioning, CI/CD workflows, or scalable training infrastructure.
  • Have experience deploying machine learning models to embedded, edge, mobile, cloud, or real-time systems.
  • Have experience with full-stack software development and cloud technologies.
  • Publications, open-source contributions, or demonstrated research achievements are a plus.

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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