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Research Scientist – Music Generation
| Company | Spotify |
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| Location | New York, NY, USA |
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| Salary | $132073 – $188676 |
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| Type | Full-Time |
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| Degrees | PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field
- Experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas
- Publications in communities such as ICASSP, ISMIR, Interspeech, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related
- Strong coding skills in Python, NumPy, PyTorch / Tensorflow
- Creative problem solver passionate about building outstanding products
- Enthusiastic about learning more about audio processing and music information retrieval
- Ability to explain complex topics in simple terms and build strong relationships with colleagues and stakeholders
Responsibilities
- Conduct cutting-edge research in music generation and related domains
- Run large-scale experiments with access to Spotify’s computing infrastructure and catalog of songs
- Create practical applications that harness generative technologies
- Collaborate as part of an autonomous, cross-functional team
- Have a direct impact on Spotify’s products, tools, and services
- Engage with the broader research community by publishing findings, delivering talks, and attending conferences
Preferred Qualifications
- Previous industry experience is helpful
