Generative AI Music Research Intern

Hook Music; United States; Remote; USD 32,000 - 48,000; Full time

Benefits offered by this job

Hands-on research experience

Collaboration with researchers and the

Job summary

Hook Music Inc. seeks a curious AI Music Research Intern to explore AI-powered tools for music creation, transformation, remixing, and interaction. You’ll work at the intersection of music, machine learning, and creative technology, turning research ideas into practical tools for music creators.

You will collaborate with researchers, engineers, product teams, and producers on generative audio, music understanding, and audio modeling, applying Python and PyTorch skills to real-world problems.

Qualifications

• Pursuing a degree in CS/ML/audio or related field.
• Foundational ML knowledge, statistics.
• Proficiency in Python and PyTorch.
• Interest in AI for music, generative AI.
• Experience with audio datasets via coursework/research.
• Ability to work independently and collaboratively.

Responsibilities

• Explore AI music technologies: research and experiment with ML approaches for music generation, transformation, remixing, and audio understanding.
• Implement and evaluate models using Python and ML frameworks.
• Build prototypes to make music more interactive, expressive, and accessible.
• Process audio datasets, run experiments, and evaluate model performance, audio quality, and musicality.
• Collaborate with engineers, music technologists, and producers to document experiments and contribute to responsible AI development.

Skills

Python

PyTorch

Machine learning

Music technology

Analytical thinking

Independent work

Curiosity

Team collaboration

Education

B.S./M.S./Ph.D. in CS/ML/Audio/Music Tech or related field

Tools

Librosa

Torchaudio

Job description

Hook Music Inc. seeks a curious AI Music Research Intern to explore AI-powered tools for music creation, transformation, remixing, and interaction. You’ll work at the intersection of music, machine learning, and creative technology, turning research ideas into practical tools for music creators.

You will collaborate with researchers, engineers, product teams, and producers on generative audio, music understanding, and audio modeling, applying Python and PyTorch skills to real-world problems.