Research Scientist – Generative Audio

Spotify

Research Scientist in generative audio, pioneering state-of-the-art technologies at Spotify. Collaborating on innovative solutions to enhance artist-fan connections with cutting-edge music experiences.

Posted 7/10/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

NumpyPythonPyTorch

About the role

Key responsibilities & impact

Conduct groundbreaking research in generative audio using diffusion or flow matching models
Run large-scale experiments with access to Spotify's infrastructure and audience
Create practical applications harnessing generative technologies
Collaborate with a cross-functional team to craft innovative solutions
Engage with the broader research community by publishing findings and delivering talks

Requirements

What you’ll need

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, or related areas
Expertise in vocal/speech synthesis, post-training alignment techniques, 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
Strong coding skills in Python, PyTorch, and NumPy

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Hard Skills & Tools

Generative ModelingMachine LearningAudio ProcessingSignal ProcessingVocal/Speech SynthesisPythonPyTorchNumPy

Soft Skills

CollaborationCommunication