Machine Learning Engineer, Personalization, Samba

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