A hybrid Data & ML role at Spotify.
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Original listing text, shown exactly as published by the company.
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Shape the machine learning strategy for content understanding and platform-level decisioning
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Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
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Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
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Design and deploy models across text, audio, image, and video domains
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Build systems that enable controlled, reliable access to content and metadata for downstream applications
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Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
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Improve automation to reduce manual intervention while maintaining high standards of trust and quality
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Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design
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You have strong experience building production-grade machine learning systems at scale
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You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
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You have worked with or are interested in multimodal machine learning
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You understand how to design systems that balance automation with quality, safety, and user experience
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You are comfortable working on complex, ambiguous problems with high impact
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You think in systems, connecting models to platform-level outcomes and user experiences
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You care deeply about data quality, evaluation rigor, and system reliability
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You communicate clearly and influence across technical and non-technical teams
Where You Will Be
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This role is based in London or Stockholm
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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.
Spotify
Data & ML
106 open roles on Sydicom
Open Source Software developed at Spotify
Source: company website
