
Remote opportunity at
SpotifyResearch Scientist - Generative Audio
Spotify is hiring a Research Scientist for its Artist-First AI Music Lab to develop cutting-edge generative audio technologies. This remote position is open to candidates located…
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About This Role
Spotify is hiring a Research Scientist for its Artist-First AI Music Lab to develop cutting-edge generative audio technologies. This remote position is open to candidates located within the EMEA region who can collaborate during Central European and GMT time zones, specifically within core working hours of CET 3pm-6pm and EST 9am-12pm. The role focuses on creating innovative listening experiences for a monthly audience exceeding 700 million users while adhering to…
Job Description
Spotify is hiring a Research Scientist for its Artist-First AI Music Lab to develop cutting-edge generative audio technologies. This remote position is open to candidates located within the EMEA region who can collaborate during Central European and GMT time zones, specifically within core working hours of CET 3pm-6pm and EST 9am-12pm. The role focuses on creating innovative listening experiences for a monthly audience exceeding 700 million users while adhering to principles that respect artist participation, fair compensation, proper credit, and human artistry.
This opportunity suits candidates who want to investigate generative modeling, vocal synthesis, post-training alignment, and audio editing using massive datasets and infrastructure. Professionals in this role will conduct pioneering experiments, build practical applications, and collaborate with cross-functional peers including engineers, product managers, designers, and user researchers. Furthermore, scientists are encouraged to share their discoveries with the wider academic community by publishing papers and attending prominent conferences.
Responsibilities
- Investigate generative audio using diffusion or flow matching models focusing on vocal synthesis, post-training, or audio editing
- Execute large-scale experiments utilizing Spotify computing infrastructure and audience data
- Design practical applications leveraging generative technologies to advance listening experiences
- Partner with cross-functional colleagues such as engineers, product managers, designers, and user researchers
- Contribute to the academic research community by publishing discoveries, giving talks, and visiting premier conferences
Requirements
- Hold a Ph.D. in Computer Science, Mathematics, Engineering, or an associated discipline
- Possess background in generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, or computer vision
- Demonstrate deep expertise in vocal and speech synthesis, post-training alignment methods, or audio-to-audio generation and text-guided music editing
- Show evidence of research publications at major conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, or ICCV
- Demonstrate strong coding proficiency in Python, PyTorch, and NumPy
Qualifications
- Bring previous industry experience related to generative audio or machine learning
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this a remote role?
Yes, this position allows you to work remotely within the EMEA region as long as there is an available work location.
What are the core working hours for this position?
The team operates in the Central European and GMT time zones, requiring collaboration during core working hours of CET 3pm-6pm or EST 9am-12pm.
What educational background is required?
Candidates must have a Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
What is the salary for this position?
The job posting does not specify the salary for this role.
Sample Interview Questions
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