Senior Staff Machine Learning Engineer - Content Platform
Spotify · USA
About this role
## Senior Staff Machine Learning Engineer — Content Platform ### About the team Spotify’s Content Platform team powers the full lifecycle of content across **music, podcasts, audiobooks, and emerging formats**. You’ll help ensure that content is **understood, trusted, safe, and high quality**—from licensed catalog to user-generated content—at global scale. ### What you’ll do - Define and drive ML 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 supporting **quality, integrity, safety, and policy compliance** at scale - Deploy ML systems across multiple modalities: **text, audio, image, and video** - Build real-time, large-scale systems for evaluating and making decisions about content - Enable controlled, reliable access to content and metadata for downstream products and applications - Partner with **Product, Policy, Trust & Safety, and Engineering** to translate content standards into scalable solutions - Advance automation while maintaining high standards for **quality, safety, fairness, explainability, and reliability** - Provide technical leadership: mentor engineers and influence ML engineering, evaluation, and system design best practices ### Who you are - Significant experience designing and building **production-grade ML systems at scale** - Deep experience with modern ML frameworks such as **PyTorch, TensorFlow, JAX, or similar** - Experience with (or strong interest in) **multimodal ML** across text, audio, image, and/or video - Experience building systems where ML outputs inform or automate **real-world decisions** - Strong understanding of balancing **automation with quality, safety, reliability, and user experience** - Comfortable tackling complex, ambiguous problems with meaningful product/business impact - Systems thinking: connecting **models, data, infrastructure, and decisioning** to platform outcomes - Strong focus on **data quality, rigorous evaluation, fairness, explainability, and system reliability** - Experienced technical leader with clear communication and mentoring ability ### Location - **New York** (flexibility to work where you work best; some in-person meetings) ### Compensation & benefits - **US base range:** $281,196 – $401,709 plus equity - Benefits include: health insurance, **six month paid parental leave**, 401(k), monthly meal allowance, **23 paid days off**, **13 paid flexible holidays**, and paid sick leave *Note: ranges may be modified in the future.*
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