Music Tech Intern

Engineering

Internship Dates: Open-Ended

Apply Now

Or email us at hello@hookmusic.com with your cover letter and resume.

Hook is a venture-backed music technology platform with the mission to inspire and innovate the way people interact with music and express themselves creatively. We are the first platform to partner with artists and labels to provide easy and intuitive AI-powered tools that inspire and empower anyone to make remixed versions of their favorite songs in just a few seconds. Weโ€™re excited to build a platform for the next generation of music artists, content creators and fans!

About The Role

As a Machine Learning / Music Tech Intern at Hook, you will work in the intersection of machine learning, audio processing, and music. You will help build creative tools, work with models to extract key musical information, and think of new automated remix ideas. This internship offers a unique opportunity for technically and creatively oriented students to learn about the landscape of music technology and apply their technical skills to a creative field.

Highlighted Responsibilities
  • Internal Tools: build tools that will 1) help annotate and format data used to train models 2) help come up with new audio interactions.
  • Literature Reviews and Research: research the cutting edge of machine learning models to solve various music information retrieval problems.
  • Model Testing: obtain consistent and meaningful metrics on various models to help make decisions about which should be used in the Hook app.
  • Model Deployment: Optimize models for deployment and deploy models scalably using Amazon Web Services (AWS) tools.
  • Model Training: Over time, help design and execute machine learning training pipelines.
  • Remix Ideas: Over time, come up with new custom interactions that users can engage in to express themselves through music.
About You
  • Strong programming foundations, with the ability to adapt and pick up skills as needed. (Experience programming applications, with a knack for simple and clean interfaces, is preferred.)
  • Strong machine learning fundamentals.
  • Experience with machine learning programming in python.
  • Motivation and interest to apply technology in a creative context.
  • Self-motivated and able to work independently.
  • Strong attention to detail.
  • Currently pursuing or recently completed a degree in computer science or a related field is a plus.
Benefits
  • Valuable hands-on experience in social media marketing.
  • Mentorship from experienced professionals.
  • Flexible working hours and the possibility of remote work.
  • Potential for future opportunities within the company.
  • Exposure to cutting-edge technology within the music industry.

If you are a creative and enthusiastic individual with a passion for music and technology, we would love to hear from you. Hook is an equal opportunity employer and welcomes candidates of all backgrounds to apply.

Apply Now

Or email us at hello@hookmusic.com with your cover letter and resume.