Research Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Artificial Intelligence · Machine Learning
In short
Spotify's Artist-First AI Music Lab is seeking Research Scientists to advance state-of-the-art generative audio technologies. Responsibilities include conducting research in areas like vocal synthesis, post-training alignment, and audio editing, with access to extensive infrastructure and a large user base. The ideal candidate has a Ph.D., deep expertise in generative modeling and machine learning, and strong coding skills in Python, PyTorch, and NumPy.
Responsibilities
- Conduct groundbreaking research in generative audio using diffusion or flow matching models, focusing on vocal synthesis, post-training, or editing.
- Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.
- Create practical applications that harness generative technologies and push the boundaries of listening experiences.
- Collaborate with cross-functional teams (scientists, engineers, product managers, designers) to craft innovative solutions.
- Publish findings, deliver talks, and attend top conferences.
- Turn research ideas into products operating at scale.
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 solver passionate about building outstanding products.
- Enthusiastic about turning research ideas into products operating at scale.
- Ability to explain complex topics in simple terms and build strong relationships.
Desired Qualifications
- Previous industry experience is helpful.
- Experience with collaboration as part of a cross-functional team.
Benefits
- Extensive learning opportunities through the GreenHouse team.
- Flexible share incentives.
- Global parental leave (six months off for all new parents).
- All The Feels employee assistance program and self-care hub.
- Flexible public holidays.
#AI#Machine Learning#Research#Audio#Music
Company
Spotify
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
London, United Kingdom
Stockholm, Sweden
Qualification
Doctoral
Applicants
Be an early applicant