At a Glance
- Tasks: Join our AI Music lab to innovate and enhance music experiences using cutting-edge generative technologies.
- Company: Spotify, the world’s leading audio streaming service, passionate about music and creativity.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Supportive environment with accommodations available throughout the hiring process.
- Why this job: Make a real impact in the music industry while collaborating with top researchers and engineers.
- Qualifications: Experience with machine learning models, cloud platforms, and a passion for music technology.
We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives.
Partnerships with record labels, distributors, and music publishers: We recognize there’s a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
Close Collaboration: Work side-by-side with research scientists to 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.
- Improve model training pipelines: You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments.
- Optimize performance: You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive.
- Maintain a high-quality codebase: You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team.
- You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team.
You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks. You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure. You understand how to debug problems in machine learning training code. You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency). You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI. You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like. You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies.
For this role, you can be within the EMEA region as long as we have a work location. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.
