Applied Research Science Intern (AI/Machine Learning)
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 Applied Research Science team seeks a skilled Applied Research Science Intern to help build next-generation product features enabled by machine learning and artificial intelligence. This Internship is Remote, Onsite or Hybrid based in Niles, IL.
Requirements
- In-process of a PhD or advanced Masters in machine learning or in application of deep learning in related scientific or engineering fields
- Deep experience in application of machine learning to images/video, audio, natural language text, 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
- Good verbal and written communication skills
- 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 with a team of data scientists and engineers to prototype and realize novel use cases enabled by machine learning and artificial intelligence
- The intern will solve problems through research, collection/creation of data, and through architecture, training, and evaluation of deep neural network models
- The intern may adapt models for implementation in a range of platform environments
Benefits
- retirement savings plans
- paid time off
- employee discounts
- professional development opportunities
- work-life balance initiatives
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What This Job Offers
Career Level
Intern
Number of Employees
1,001-5,000 employees
