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# Senior Staff Machine Learning Engineer - Content Platform

- **Company:** Spotify
- **Location:** Stockholm, ME, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Content Analysis, Machine Learning, Metadata, Tensorflow, Pytorch, Reliability of Systems, Build Tools, Machine Learning Operations
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-staff-machine-learning-engineer-content-platform-stockholm-me--9f59db3b-a105-4bec-8e91-569356e37639

## About the Role

Machine Learning, Risk, Metadata, Automation, Machine Learning, Mentoring, Best Practices, Technical Leadership, Safety Engineering, Production Systems

## Description

Define and drive machine learning strategy across content understanding, safety, policy enforcement, and platform-level decisioning Build and scale production ML systems for classification, moderation, ranking, risk detection, and content evaluation Develop automated decisioning systems that support content quality, integrity, safety, and policy compliance at scale Design and deploy ML systems across multiple content modalities, including text, audio, image, and video Build systems capable of evaluating and making decisions about content in real time and at Spotify scale Enable controlled and reliable access to content and metadata for downstream products and applications Collaborate closely with Product, Policy, Trust & Safety, and Engineering teams to translate content standards into scalable technical solutions Advance automation while maintaining high standards for quality, safety, fairness, explainability, and reliability Provide technical leadership across teams, mentoring engineers
and influencing ML engineering, evaluation, and system design best practices

Who You Are

You have significant experience designing and building production-grade machine learning systems at scale You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar You have experience with-or a strong interest in-multimodal machine learning across areas such as text, audio, image, or video You have built systems where machine learning outputs inform or automate real-world decisions You understand how to balance automation with quality, safety, reliability, and user experience You're comfortable tackling complex and ambiguous technical problems with significant product and business impact You think in systems, connecting models, data, infrastructure, and decisioning to platform-level outcomes and user experiences You care deeply about data quality, rigorous evaluation, fairness, explainability, and system reliability You're an experienced technical leader who communicates clearly, mentors others, and can influence across technical and non-technical
teams