AI Engineer / Computer Scientist for Music Project

AI Engineering Intern (AI Music Platform) 

Location: Remote

Compensation: Equity-based package

About Us:

Musicology, a cutting-edge AI music platform developed by TrueScale Records, is revolutionizing the way music is created and licensed. Our mission is to harness the power of AI to generate music in the style of any artist or company while ensuring alignment with artist rights, copyrights, and responsible AI use. As part of an international label with a creative team based in the U.S. and Singapore, you’ll have the opportunity to contribute to groundbreaking projects in the AI and music space.

The Role:

We are seeking a passionate and motivated AI Engineering Intern to join our team. In this internship, you’ll play a key role in training and refining our AI models, helping to build the foundation of a transformative platform. This is an excellent opportunity for individuals looking to gain hands-on experience in cutting-edge AI technology and the music industry while earning equity in a fast-growing startup.

What You’ll Do:

• Collaborate with AI engineers to develop and fine-tune music generation models.

• Assist in training models on small datasets, optimizing for accuracy and efficiency.

• Explore innovative ways to address challenges in music and audio generation.

• Deploy and test models on platforms such as Lambda, ensuring scalability and performance.

• Stay updated on the latest advancements in AI and music technology.

What We’re Looking For:

• Currently pursuing or recently completed a degree in computer science, AI, music technology, or a related field.

• Basic understanding of AI concepts, with a keen interest in music or audio generation.

• Familiarity with Python and frameworks like TensorFlow or PyTorch is a plus, but not required.

• Strong problem-solving skills and a willingness to learn in a collaborative environment.

• Passionate about music and technology, with a desire to contribute to innovative projects.

What We Offer:

• Equity-based Compensation: Your contributions will earn you equity in Musicology, giving you a stake in our success.

• Hands-on experience with real-world AI music projects.

• Mentorship and guidance from experienced professionals in AI and the music industry.

• Opportunities to work on innovative projects that have the potential to transform the music landscape.

How to Apply:

Send your resume and a brief cover letter explaining your interest in the position via handshake. Applications will be reviewed on a rolling basis.

Join us in shaping the future of music creation and licensing through AI!