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Research Scientist – Music
Job Description:
- conduct groundbreaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing
- 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, pushing the boundaries of what’s possible in listening experiences
- collaborate as part of a cross-functional team to craft innovative solutions to complex challenges
- have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization
- engage with the broader research community by publishing findings, delivering talks, and attending top conferences
Requirements:
- Ph.D. degree 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
- publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV
- strong coding skills in Python, PyTorch, NumPy
- creative problem solver passionate about building outstanding products
- enthusiastic about turning research ideas into scalable products
- able to explain complex topics in simple terms
- enjoy building strong relationships with colleagues and stakeholders
Benefits:
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- a monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays