AI Music Research Intern

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

👨‍🎓 Internship

⚪️ Entry-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

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👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 98 days.
• No salary listed.

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Hook

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11 - 50 employees

📱 Media

👥 B2C

💰 $3M Seed Round - Hook on 2025-03

Media • B2C

Hook is a mobile-first social music discovery app from Hook Music Inc. It lets users browse and remix short music “hooks,” participate in challenges and leaderboards, and engage with creator-driven audio content and filters. The platform is consumer-focused, emphasizing discovery, social sharing, and user-generated remixes and collaborations.

📋 Description

• Research and experiment with machine learning approaches for music generation, transformation, remixing, and audio understanding • Use Python and modern machine learning frameworks to build, test, and evaluate AI models and audio processing techniques • Develop experimental tools and prototypes for interactive, expressive, and accessible music experiences • Process audio datasets, run experiments, and evaluate model performance, audio quality, and musicality • Collaborate with engineers, music technologists, and producers on creative use cases • Document experiments and contribute to responsible AI development

🎯 Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Audio Signal Processing, Music Technology, Electrical Engineering, or a related field • Foundational knowledge of machine learning, deep learning, and statistical methods • Proficiency in Python and familiarity with machine learning frameworks such as PyTorch • Interest in audio, music, generative AI, or creative applications of machine learning • Familiarity with audio processing, digital signal processing, or music-related datasets through coursework, research, or personal projects • Strong analytical and problem-solving skills, with curiosity and willingness to experiment with new ideas • Ability to work independently on technical tasks while collaborating effectively with a multidisciplinary team • Genuine interest in music, creative tools, and how technology can expand musical expression • Academic projects, research experience, or personal projects involving audio processing, music generation, or machine learning • Familiarity with generative audio models, including diffusion-based, autoregressive, or other neural audio architectures • Experience with audio libraries such as librosa or torchaudio, or tools for audio analysis and manipulation • Familiarity with audio embeddings, neural audio codecs, text-audio models, or multimodal learning • Experience with music production software, digital audio workstations (DAWs), audio plugins, or creative coding tools • Experience collaborating with musicians, producers, or other creative professionals • Familiarity with evaluating generative models or assessing subjective qualities such as musicality, expressiveness, and controllability • Interest in responsible AI practices, including artist consent, music rights, and ethical dataset development • Contributions to research projects, open-source software, machine learning competitions, or relevant technical communities

🏖️ Benefits

• Hands-on experience researching and building AI-powered music tools • Opportunity to work on real-world challenges in generative AI, audio modeling, and music technology • Close collaboration with researchers, engineers, music technologists, and producers • Opportunity to experiment with emerging technologies and contribute ideas to product development • Exposure to turning research prototypes into practical creative tools • Mentorship and support for continued technical learning and professional growth • Chance to help shape the future of music discovery, creation, and expression in a responsible, creative environment

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