Audio Applied Research Science Intern

SUMMER 2027

Shure offers a challenging, fun, and rewarding summer internship program. The twelve-week program is offered to undergraduate and graduate students. We offer internships with a variety of work arrangements from onsite interns to fully remote in US. Each intern will receive a competitive salary. Additionally, Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses.

Applications will be collected, reviewed, and selected candidates will be contacted in late fall/early winter.

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine learning and artificial intelligence. This role offers the opportunity to contribute to cutting edge research and product development in professional audio applications.

This Internship will be Remote, Onsite or Hybrid in Niles, IL.

• Conducting research and developing machine learning solutions for challenging audio problems.
• Collecting, creating, and curating datasets for model development and evaluation.
• Designing, training, and evaluating deep learning models for audio applications, including:
  • Single- and multi-channel audio processing
  • Speech enhancement
  • Music enhancement
  • Audio classification
  • Other audio intelligence and signal processing tasks
• Investigating and implementing state-of-the-art machine learning architectures and techniques.
• Optimizing and adapting models for deployment across a variety of hardware and software platforms.
• Applying modern machine learning engineering practices, including shared codebases, reusable toolkits, experiment tracking, and reproducible workflows.
• Documenting research findings, experimental results, and technical recommendations using collaborative documentation tools.
• Presenting technical results and insights to research and engineering teams.

• 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.
• Demonstrated research or project experience in machine learning, deep learning, or artificial intelligence.
• Experience applying machine learning techniques to audio, speech, digital signal processing, multimedia, or related domains.
• Proficiency with modern machine learning frameworks and libraries such as PyTorch, Tensor Flow, JAX, or equivalent.
• Strong programming skills in Python and experience working with scientific computing tools.
• Ability to independently investigate complex technical challenges and rapidly prototype solutions.
• Strong written and verbal communication skills.
• Experience with audio signal processing, acoustics, speech processing, or music information retrieval.
• Familiarity with MLOps practices, including experiment tracking, model versioning, CI/CD workflows, or scalable training infrastructure.
• Experience deploying machine learning models to embedded, edge, mobile, cloud, or realtime systems.
• Experience with full-stack software development and cloud technologies.
• Publications, open-source contributions, or demonstrated research achievements are a plus.

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

WHO WE ARE

Shure’s mission is to be the most trusted audio brand worldwide – and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn’t stop at our products.

Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all.

Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia.

Join Shure…