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Jobs/Director of Engineering Role/spotify - Director, Machine Learning Engineering - Surfaces Foundation
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spotify

spotify - Director, Machine Learning Engineering - Surfaces Foundation

London / Stockholm4d ago
RemoteDirectorEMEAArtificial IntelligenceData AnalyticsNonprofitDirector of EngineeringMachine Learning EngineerClose

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Requirements

• You have experience building and operating machine learning systems at scale in consumer-facing products • You have worked on recommendation systems, ranking, or content delivery platforms and understand end-to-end ML workflows • You bring strong platform thinking, with the ability to decide when to build shared capabilities and when to keep solutions closer to product teams • You are comfortable working with modern AI tools and understand how they influence software development practices • You have led teams through change, supporting adoption of new technologies or ways of working • You collaborate effectively across disciplines and help create alignment across teams with different priorities • You care about building inclusive, supportive team environments and invest in the growth of others • You are comfortable navigating ambiguity and making decisions that balance short-term needs with long-term impact • ## Where You'll Be • This role is based in London • 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.

Responsibilities

• Lead and support engineering managers and their teams building platform systems for personalized recommendations across Spotify • Set and evolve the technical vision for foundational capabilities, including targeting, serving, evaluation, and agent-driven systems • Make thoughtful decisions about what should become platform capabilities, ensuring teams can move quickly without unnecessary complexity • Guide incremental platform evolution, enabling continuous delivery rather than large, disruptive rewrites • Partner closely with product, data science, and engineering leaders to align priorities across multiple squads • Stay close to the technology when needed, contributing to architecture decisions and resolving complex production challenges • Encourage adoption of AI-assisted development tools and shape how teams use them effectively in day-to-day work • Hire, develop, and grow engineering leaders and individual contributors, building a strong and inclusive team culture

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