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Research Scientist – Generative Audio
SpotifyResearch 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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in generative audio research, particularly in diffusion and flow matching models, while leveraging strong coding skills in Python and PyTorch. Engages with the research community through publications and presentations at leading conferences.
Highest-signal resume keywords
Ph.D. In Computer ScienceGenerative ModelingMachine LearningVocal/Speech SynthesisPublications At Leading Conferences
ATS Keywords
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Hard Skills
Generative ModelingMachine LearningAudio ProcessingSignal ProcessingVocal/Speech SynthesisPythonPyTorchNumPy
Soft Skills
CollaborationCommunication
Industry Keywords
Music Information RetrievalPost-Training Alignment TechniquesAudio-To-Audio GenerationText-Guided Music Editing
Tech Stack
Tools & technologiesNumpyPythonPyTorch
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