Company profile
Remote jobs at hookmusic
A social music platform that lets fans create and share licensed remixes using AI-powered tools, in partnership with artists and rights holders.
- Industry
- Music Technology
- Funding
- Round $10 million Series AStructure The $10 million Series A brings Hook’s reported total funding to $16 million.Lead investor Khosla VenturesParticipants
Point72 Ventures, Imaginary Ventures, Waverley Capital, Kygo’s Palm Tree Crew, Three Six Zero, Avex, The Raine Group, KSHMRView more
Point72 Ventures, Imaginary Ventures, Waverley Capital, Kygo’s Palm Tree Crew, Three Six Zero, Avex, The Raine Group, KSHMR
Jobs
Most common locations
- Remote4
Most common roles
- AI Engineer3
- Data Scientist1
hookmusic currently has 4 open remote roles on Hidden Jobs. 4 were added during the last 7 days. The most represented roles are AI Engineer (3), Data Scientist (1). Salary information is not disclosed on the current active listings. The most common eligibility is Remote (4).
Experience levels represented: Intern (2), Not specified (2).
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Current openings
4 active roles detected; full descriptions are public and original application links require Hidden Jobs Access.
Machine Learning Engineering Intern, Recommendation Systems
AI Engineer Full-time Permanent
Support the development of recommendation systems that help people discover music and engage with creators. The internship spans applied machine learning and software engineering,…
AI Music Research Intern
AI Engineer Full-time Permanent
Explore how machine learning can support music creation, transformation, remixing, and understanding. The work combines research and practical prototyping: you will investigate em…
Research Scientist, AI Music
AI Engineer Full-time Permanent
Research and build machine-learning capabilities that let people generate, remix, transform, and interact with music. This applied research role connects generative audio and musi…
Research Scientist, Recommendation Systems
Data Scientist Full-time Permanent
Develop recommendation systems that personalize user experiences at scale. The work combines applied research with practical model development, using behavioral and user-generated…