Data Science Intern

Job ID 2022-2837
Category
Other
Job Locations
US-IL-Niles
Workplace Arrangement
Hybrid, On-site

Overview

SUMMER 2023


Shure offers a challenging, fun and rewarding summer internship program. The twelve-week program is offered to undergraduate students that have completed at least 2 years of college, as well as 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 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 Shure Strategic Technology Team is looking for a skilled scientist to help build next-generation product features enabled by machine learning and artificial intelligence.

 

We are a diverse group of engineers, scientists, designers, and people with other backgrounds who invent and prototype useful, playful, and beautiful things. Our vision is to make life easier, more connected, more entertaining, more personal, and more productive. This is your opportunity to join our talented professionals as an intern to work on cutting-edge technologies and cool projects.


This Internship can be Hybrid.

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.

Qualifications

  • In-process of a Ph.D. 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.
  • Experience or understanding of common ML-Ops patterns is a plus.
  • Experience with full stack development is a plus.
  • Good verbal and written communication skills.

#LI-Hybrid 

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