AI Music Research Intern: Create Generative Audio Tools

Hook

New York (NY)

On-site

USD 28,000 - 41,000

Part time

2 days ago
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Benefits offered by this job

Hands-on AI music tooling experience
Real-world generative AI projects
Close collaboration with researchers &

Job summary

Hook is seeking an AI Music Research Intern to help develop AI-powered tools for music creation, transformation, remixing, and creative interaction. You will work at the intersection of music, machine learning, and creative technology, exploring generative audio and audio modeling while collaborating with our music technology, engineering, product, and creative teams.

Whether from academia, coursework, or personal projects, you’ll apply technical skills to exciting problems in AI music and help

Qualifications

  • Pursuing a Bachelor's, Master's, or PhD in CS/ML/Audio or related field.

Responsibilities

  • Explore AI music technologies: research and experiment with ML for music generation, transformation, remixing, and audio understanding.
  • Implement and evaluate models: use Python and ML frameworks to build, test, and evaluate AI models and audio processing techniques.
  • Build prototypes: develop experimental tools exploring new ways to make music more interactive, expressive, and accessible.
  • Work with data and experiments: process audio datasets, run experiments, and evaluate model performance, audio quality, and musicality.
  • Collaborate and share findings: work with engineers and producers to explore use cases, document experiments, and contribute to responsible AI development.

Skills

Curiosity and motivation
Independent work
Analytical thinking
Team collaboration
Communication

Education

Bachelor's/Master's/PhD in CS/ML/Audio Signal Processing/Music Technology/EE or related field

Tools

Python
PyTorch
librosa
torchaudio

Job description

Hook is seeking an AI Music Research Intern to help develop AI-powered tools for music creation, transformation, remixing, and creative interaction. You will work at the intersection of music, machine learning, and creative technology, exploring generative audio and audio modeling while collaborating with our music technology, engineering, product, and creative teams.

Whether from academia, coursework, or personal projects, you’ll apply technical skills to exciting problems in AI music and help

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