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About the Role
We are seeking Research Scientists to join our Artist-First AI Music Lab, pioneering generative technologies for music to create breakthrough experiences for fans and artists. Our products will prioritize artists and creatives through partnerships, choice in participation, fair compensation, and by deepening artist-fan connections.
Responsibilities
- Conduct groundbreaking research in generative audio using diffusion or flow matching models, focusing on vocal synthesis, post-training alignment techniques, or iterative music generation and audio editing.
- Run large-scale experiments utilizing Spotify's infrastructure and user base.
- Create practical applications harnessing generative technologies to advance listening experiences.
- Collaborate with cross-functional teams to develop innovative solutions.
- Impact Spotify's products, tools, and services organization-wide.
- Publish research findings, deliver talks, and attend top conferences.
Requirements
- Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
- Experience in generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
- Deep expertise in vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing.
- Publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.
- Strong coding skills in Python, PyTorch, and NumPy.
- Creative problem-solving abilities with a passion for building valuable products.
- Enthusiasm for translating research ideas into scalable products.
- Ability to explain complex topics simply and build strong relationships.
Skills
- Generative modeling
- Machine learning
- Music information retrieval
- Speech processing
- Audio processing
- Signal processing
- Probabilistic modeling
- Computer vision
- Python
- PyTorch
- NumPy
- Diffusion models
- Flow matching models
- Vocal synthesis
- Speech synthesis
- Post-training techniques
- Preference alignment methods
- Reinforcement learning
- Iterative music generation
- Audio editing
Location
- EMEA region
Work Type
- Remote
- Hybrid
Experience Level
- All levels of seniority
Education Level
- Ph.D.
About the Company
- Spotify is an equal opportunity employer.
- Our platform is for everyone, and so is our workplace.
- We are passionate about inclusivity and ensuring our recruitment process is accessible.
- We offer ways to request reasonable accommodations during the interview process.
Equal Opportunity
- Spotify is an equal opportunity employer.
- You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones.
- Our platform is for everyone, and so is our workplace.
- The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!
- So bring us your personal experience, your perspectives, and your background.
- It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
- We are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
- We have ways to request reasonable accommodations during the interview process and help assist in what you need.
- If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.