🕒 15 days ago
Develop and evaluate machine learning models across the full research lifecycle, from novel architectures and training methods to evaluation protocols and efficient training and inference, while building research code for rapid.
Research Scientist - Generative Audio
📅 Jul 10
Generative AudioDiffusion ModelsFlow MatchingVocal Synthesis
📜 Description
- Research generative audio using diffusion or flow-matching models.
- Develop methods for vocal and speech synthesis, including audio and signal processing.
- Explore post-training, preference alignment, reward models, and reinforcement learning for music generation.
- Research iterative music generation and editing, including stem, instrumentation, mood, tempo, and structure changes.
- Run large-scale experiments and turn research into practical applications.
- Collaborate across disciplines and share findings through publications, talks, and conferences.
🛠️ Requirements
- Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
- Experience in generative modeling, machine learning, music information retrieval, speech or audio processing, signal processing, probabilistic modeling, computer vision, or a related area.
- Deep expertise in vocal or speech synthesis, post-training alignment, or audio-to-audio generation and text-guided music editing.
- Publications at leading research conferences or related venues.
- Strong coding skills in Python, PyTorch, and NumPy.
- Able to explain complex topics clearly and collaborate with colleagues and stakeholders.
✨ Benefits
- Health insurance
- Six months of paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Equity
Full job description
We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI Music Lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
- Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
- Choice in participation: We recognize there’s a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
- Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for their contributions.
- Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
Learn more in our press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/
What You'll Do
Conduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas:
Vocal Synthesis — Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing.
Post-Training — Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence.
Editing — Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes.
You will also:
Who You Are
Where You'll Be
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