Applied Research Science Intern

About the role

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.

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

Qualifications

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

Pay

Each internship has an hourly rate which varies from $23-$43 per hour based on job function (Engineering, IT, Business, etc) and year completed in school (Junior, Masters 2nd year, PHD, etc).

Benefits

• Retirement savings plans
• Paid time off
• Employee discounts
• Professional development opportunities
• Work-life balance initiatives

Schedule

The twelve-week program is offered to undergraduate and graduate students. Internships are available with a variety of work arrangements from onsite to fully remote in US.