Teams at Hook

Research and develop AI models for music generation, transformation, remixing, and creative interaction. Investigate generative audio and music understanding, design evaluation frameworks, and translate research prototypes into product capabilities. Collaborate with engineers, music technologists, producers, and musicians while addressing audio quality, musicality, controllability, music rights, artist consent, data provenance, and responsible AI practices.

Assist with building recommendation models, data pipelines, feature engineering workflows, ranking algorithms, and machine learning prototypes for personalized music discovery. Evaluate and optimize recommendation approaches, process user interaction data, and collaborate with engineering, research, and product teams to develop real-world personalization systems.

Research and prototype AI-powered tools for music generation, transformation, remixing, and audio understanding. Build and evaluate machine learning models using Python and modern frameworks, process audio datasets, assess model performance and musical quality, and collaborate with engineering, music technology, product, and creative teams. The intern will also document findings and contribute to responsible AI practices involving artist consent, music rights, and ethical data use.