7 hours ago
Responsibilities
- Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging.
- Develop and optimize ranking and backend retrieval systems for music, videos, audiobooks, and other content.
- Explore AI and agentic approaches for intuitive and conversational Search experiences.
- Design, implement, and evaluate machine learning solutions from experimentation through production.
- Use experimentation, data analysis, and performance metrics to evaluate models and validate hypotheses.
- Contribute to scalable machine learning infrastructure and reliable engineering practices.
- Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver Search improvements.
- Share knowledge and help shape the technical direction of machine learning within the squad.
Requirements
- Experience building, deploying, and improving machine learning systems in production environments.
- Strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.
- Proficiency in Python and comfort working with modern machine learning frameworks and data processing tools.
- Experience and interest in backend engineering at Spotify scale.
- Ability to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.
- Experience working with large-scale datasets and building reliable, scalable machine learning systems.
- Curiosity about large language models and agentic systems and their potential to improve discovery experiences.
- Ability to communicate technical ideas clearly, work across disciplines, navigate ambiguity, and take ownership of complex challenges.
Benefits
- Flexible work arrangement with the ability to work from home and some in-person meetings.
- Role based in Eastern Standard Time.
Tech Stack
Categories
About Spotify
Spotify builds a global audio streaming platform for listeners and creators, offering on-demand music and podcasts across mobile, desktop, and connected devices. The business runs a freemium model: an ad-supported free tier and a paid Premium subscription, plus creator tools like Spotify for Artists and podcast publishing. Founded in 2006 and headquartered in Stockholm, it is a publicly traded company on the NYSE (SPOT) serving consumers and rights holders worldwide.