Senior Staff Machine Learning Engineer - Content Platform

Job summary

Responsibilities

You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content…

• 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

What they're looking for

• 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

Tech stack

• PyTorch
• TensorFlow
• JAX