Applied Research Science Intern (AI/Machine Learning)

Shure • Niles, IL

73d • $21 - $40

About The Position

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 the 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 is capable of digging deeply into ideas and concepts and generating rapid prototypes.
• Good verbal and written communication skills.
• Applicants must be currently authorized to work in the United States on a full-time basis.

Nice To Haves

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

Responsibilities

• Work with a team of data scientists and engineers to prototype and realize novel use cases enabled by machine learning and artificial intelligence.
• Solve problems through research, collection/creation of data, and through architecture, training, and evaluation of deep neural network models.
• 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

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees