Applied Research Science Intern

Summary

Shure is a global manufacturer of audio equipment, including microphones, headphones, wireless audio systems, and conferencing systems. The Applied Research Science Intern will help develop next-generation product features using machine learning and artificial intelligence by researching use cases, creating data, developing and evaluating deep neural network models, and adapting models for different platform environments.

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

Skills

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

Qualifications

Must Haves

• 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

Benefits

• Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses.
• A variety of work arrangements from onsite interns to fully remote in US.
• Retirement savings plans
• Paid time off
• Employee discounts
• Professional development opportunities
• Work-life balance initiatives