Moises · 4 weeks ago
Music Generation Researcher
Moises is a fast-growing Series A startup with over 60 million users in 190+ countries, named Apple’s iPad App of the Year in 2024. They are hiring experienced researchers to explore and develop conditional music generation models that empower musicians and producers.
Artificial Intelligence (AI)Machine LearningMusic
Responsibilities
Explore and develop new approaches to conditional music generation
Build, train, and evaluate novel music gen architectures using large audio datasets
Collaborate with ML engineers, audio folks, and product teams
Turn research breakthroughs into tools musicians can actually use in their day-to-day
Keep up with the latest in generative modeling and audio ML, and participate in the scientific community
Qualification
Required
Experience with generative models (diffusion, transformers, autoregressive, etc.)
Strong machine learning and deep learning fundamentals
Solid programming skills in Python and experience with PyTorch
Several years of experience working on ML research or applied research
Comfort working with large-scale training and experimentation
Curiosity about music, sound, and creative workflows
Ability to explain complex ideas clearly and work well with others
Preferred
Experience with conditional generation tasks
Background in music production, DSP, or audio engineering
Publications or open-source contributions in audio or ML
Experience shipping research into real products
Benefits
Flexible paid time off
Paid parental leave
Monthly wellness stipend
Learning and development support for conferences, courses, and training
Company
Moises
Moises is an audio-tech company that leverages machine learning and data science in relation to music and audio processing.
Funding
Current Stage
Growth StageTotal Funding
$40.43MKey Investors
MONASHEESKickstart
2025-05-12Series A· $30M
2022-06-10Seed· $8.83M
2021-08-03Seed· $1.6M
Recent News
2025-10-20
TechRadar.com
2025-09-22
2025-09-17
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