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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Build and scale machine learning systems that generate deep understanding of content across modalities
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Develop models for classification, tagging, semantic understanding, and content enrichment
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Create high quality content enrichment at scale using LLMs and agentic systems.
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Design systems that make content intelligence signals available to downstream teams and products
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Improve automation for content quality, safety, and metadata enrichment at scale
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Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
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Contribute to evaluation frameworks, data pipelines, and annotation systems
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Support rapid experimentation to prototype and launch new types of content signals
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Help improve system reliability, scalability, and performance across large datasets
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You have experience building and deploying machine learning systems in production
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You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
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You have experience working with large datasets and care about data quality and evaluation
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You are interested in or have worked with multimodal machine learning
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You understand how to design systems that balance automation with quality and user experience
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You think in systems and understand how models connect to product outcomes
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You communicate clearly and work well across technical and non-technical teams
Where You Will Be
Spotify
Data & ML
106 open roles on Sydicom
Open Source Software developed at Spotify
Source: company website
