Applied Research Science Intern

Shure•Niles, IL

2d•$23 - $43•Hybrid

About The Position

The advanced research team seeks a skilled Applied Research Science Intern to help build next-generation product features enabled by machine learning and artificial intelligence. This Internship will be Remote, Onsite or Hybrid in Niles, IL. 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.

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 and other advanced algorithms
The intern may adapt models for implementation in a range of platform environments.