spotify - Machine Learning Engineer, Personalization, Samba
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Requirements
• You have 5+ years of experience in machine learning, data, or backend engineering • You are experienced with production-grade systems and scalable architectures • You have worked on recommendation systems, ranking, or optimization problems • You bring a T-shaped skillset across ML, data, and backend domains • You are comfortable navigating ambiguity and solving complex problems • You care about user experience and measurable impact • You enjoy collaborating across disciplines and geographies • ## Where You'll Be • This role is based in London or Stockholm • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. 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.
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
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