Audio Applied Research Science Intern

Shureorporated • Niles, IL

1d • $21 - $40 • Hybrid

About The Position

SUMMER 2026 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 seeks a skilled Audio Applied Research Science Intern to help build next-generation product features enabled by machine learning and artificial intelligence. This Internship can be Remote, Onsite, or Hybrid, based out of our Niles, IL headquarters.

Requirements

• In-process of a PhD or advanced Masters electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with some project.
• Deep experience in application of machine learning to audio, video, and/or other digital signal processing, transformation, or generation
• Demonstrated experience with leading machine learning tools and libraries
• A self-starter who capable of digging deeply into ideas and concepts and generating rapid prototypes
• 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.

Nice To Haves

• Experience or understanding of common ML-Ops patterns is a plus
• Experience with full stack development is a plus

Responsibilities

• The intern will work as part of a cross-functional team of data scientists and engineers to create, design & implement cutting-edge audio features and products.
• The intern will solve problems through research, collection/creation of data, and through architecture, training, and evaluation of deep neural network models targeting audio functionality (single and multi-channel audio processing algorithms, speech enhancement, music enhancement, audio classification, etc.)
• The intern may adapt models for implementation in a range of platform environments.
• The intern will adopt mature machine learning software engineering practices (e.g. shared toolkits, repos, experiment tracking).
• The intern will record findings, results and notes in collaborative documentation tools.

Benefits

• We offer internships with a variety of work arrangements from onsite interns to fully remote in US.
• Each intern will receive a competitive salary.
• Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses.
• flexible work arrangements
• opportunity for all
• retirement savings plans and paid time off
• employee discounts
• professional development opportunities
• work-life balance initiatives

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees