AI Music Research Intern

Hook; United States; Remote; USD 24,000 - 36,000; Full time

Benefits offered by this job

Hands-on experience building AI tools

Close collaboration with researchers,

Job summary

Hook in the United States is seeking an early-stage researcher to join its ML team focused on music generation, transformation and audio understanding.

You will prototype models with Python and PyTorch, process audio datasets, run experiments, and collaborate with engineers, music technologists and producers to document findings and advance interactive, expressive music tools.

Qualifications

• Currently pursuing a Bachelor's, Master's or PhD in Computer Science, Machine Learning, Audio Signal Processing or related field.
• Foundational knowledge of machine learning, deep learning and statistical methods.
• Proficiency in Python and familiarity with PyTorch.
• Interest in audio, music and generative AI.
• Strong analytical and problem-solving skills.

Responsibilities

• Research and experiment with machine learning approaches for music generation, transformation and audio understanding
• Implement and evaluate models using Python and modern ML frameworks
• Build experimental prototypes for interactive, expressive music tools
• Process audio datasets, run experiments and evaluate model performance and musicality
• Collaborate with engineers, music technologists and producers and document findings

Skills

Python

PyTorch

Machine Learning

Deep Learning

Audio

Analytical thinking

Problem solving

Education

Bachelors/Masters/PhD in CS/ML/Audio

Tools

Torchaudio

Librosa

DAWs/Audio plugins

Job description

Responsibilities

• Research and experiment with machine learning approaches for music generation, transformation and audio understanding
• Implement and evaluate models using Python and modern ML frameworks
• Build experimental prototypes for interactive, expressive music tools
• Process audio datasets, run experiments and evaluate model performance and musicality
• Collaborate with engineers, music technologists and producers and document findings

Requirements

• Currently pursuing a Bachelor's, Master's or PhD in Computer Science, Machine Learning, Audio Signal Processing or related field
• Foundational knowledge of machine learning, deep learning and statistical methods
• Proficiency in Python and familiarity with PyTorch
• Interest in audio, music and generative AI
• Strong analytical and problem-solving skills

Preferred Qualifications

• Audio processing or music generation projects
• Familiarity with generative audio models and audio libraries such as librosa or torchaudio
• Experience with DAWs, audio plugins or creative coding tools
• Interest in responsible AI practices, artist consent and music rights

Benefits

• Hands-on experience building AI-powered music tools
• Close collaboration with researchers, engineers and producers
• Mentorship and support for technical growth

About the Company

• Hook is a social music platform building music discovery, fan expression and creator growth tools, backed by top-tier investors.