Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity. The Personalization team is seeking a Machine Learning Engineer to design and build systems that optimize user recommendations and enhance listener experiences through machine learning and data expertise.
Responsibilities:
- Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
- Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
- Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
- Work across ML, backend, and data layers to bring models into production
- Contribute to scalable infrastructure supporting high-volume user interactions
- Run experiments and use insights to continuously improve performance
- Help shape technical direction and raise the bar for engineering excellence within the team
Requirements:
- 5+ years of experience in machine learning, data, or backend engineering
- Experienced with production-grade systems and scalable architectures
- Worked on recommendation systems, ranking, or optimization problems
- Bring a T-shaped skillset across ML, data, and backend domains
- Comfortable navigating ambiguity and solving complex problems
- Care about user experience and measurable impact
- Enjoy collaborating across disciplines and geographies