Spotify
Media • B2C • eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
Staff Research Engineer – Music
October 23
Spotify
Media • B2C • eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
📋 Description
• Closely collaborate with research scientists. Work side-by-side to turn new research ideas into well-engineered experiments, ensuring efficiency, clarity, and reproducibility in every implementation. • 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. • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users. • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes. • 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. • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team.
🎯 Requirements
• 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 communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents. • 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 are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration. • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus. • 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.
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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