REMOTE Music Industry Internship: AI in the Music BusinessAt — FanFlex

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Opportunity Summary 

We are excited to offer an unpaid internship opportunity at FanFlex for talented college students interested in exploring the applications of Artificial Intelligence (AI) to revolutionize the music industry and empower musicians. This internship will provide a unique opportunity to work alongside industry experts and contribute to groundbreaking projects that have the potential to shape the future of music.  This is the first time we have offered such an internship, so the opportunity is flexible to the student(s) interested focus and desired outcomes.

What the virtual internship is:

As an AI Intern at FanFlex, you will have the opportunity to work on cutting-edge projects that utilize artificial intelligence to benefit the music industry. You will collaborate with our team music experts to develop innovative solutions and explore new avenues for using AI technology in the music ecosystem. Your primary responsibilities will include:

- Researching and analyzing the current state of AI in the music industry.
- Developing and implementing AI algorithms and models for music analysis, recommendation systems, and content generation.
- Collecting, cleaning, and analyzing large datasets of music-related information.
- Collaborating with cross-functional teams to integrate AI solutions into existing music platforms.
- Conducting experiments, evaluating results, and iterating on models to improve performance and accuracy.
- Keeping up-to-date with the latest advancements in AI and music-related technologies.

Preferred Qualifications (but not required):
- Currently enrolled in a bachelor's or master's degree program in computer science, data science, artificial intelligence, or a related field.
- Strong programming skills in languages such as Python, Java, or C++.
- Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of algorithms and statistical modeling techniques.
- Passion for music and a deep interest in exploring the intersection of AI and the music industry.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.

Tasks:

AI is a completely new frontier and the goal of this internship is to have the student explore current AI platforms and how they could work to benefit our music business clients at FanFlex: independent musicians and venues. The student will be able to tap our tech team that can help answer and direct the student from the tech side.

Training:

Weekly virtual team office hours multiple times a week with individuals that are highly involved in the music industry, as well as, individual one-on-one virtual meetings throughout the week.

On top of the weekly team meetings that the student will participate in, we also have dept and one-on-one meetings once a week (typically Tuesdays). Additionally to the team and individual meetings, we are available for intern office hours on most Thursdays for additional assistance, guidance, etc. With AI moving so fast, we will make sure to identify just a couple different options to implement during the internship so that the student doesn't get overwhelmed. All of our internships are designed to not only help our company FanFlex, but also to create hands-on experience for things that the student wants to work on. For example, if there's a specific platform that the student wants to gain proficiency in, then we will work with the student to come up with projects that meet our mutual goals.

Learning Outcomes:

  • Gain hands-on experience in applying AI techniques to real-world music industry challenges.
  • Work with a dynamic team of professionals who are passionate about technology and music.
  • Receive mentorship and guidance from experienced industry experts.
  • Collaborate on impactful projects that have the potential to shape the future of the music industry.
  • Expand your professional network and connect with like-minded individuals.
Program 
Academic Internship
Location Type 
Remote
This opportunity provides some form of compensation 
No
Opportunity Availability 
07/30/2025 to 07/29/2026