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The Senior Staff Machine Learning Engineer will define and implement ML strategies for content safety and compliance, build scalable systems, and ensure high-quality content evaluation.

The Engineering Manager will lead the Content Platform team, directing the development of large-scale systems for content delivery, ensuring reliability and scalability, while fostering team growth and collaboration.

As a Senior Backend Engineer, you will design and build scalable Java services, optimize data pipelines, and improve backend systems while collaborating with cross-functional teams at Spotify.

Lead multiple engineering teams, drive technical strategy, enhance content management systems, and foster an inclusive engineering culture at Spotify.

The Staff Machine Learning Engineer will enhance recommendation systems by developing ML models, implementing production ML systems, and collaborating across teams to improve user experiences on Spotify.

The Data Scientist II role involves designing performance metrics, creating data pipelines, conducting experiments, and delivering data-driven insights to support decision-making across SAFE studios.

Lead and mentor engineering teams, ensuring technical direction for subscription management and order processing systems while maintaining operational excellence and compliance.

Design and architect backend systems for user-facing features, maintain scalable services, and mentor team engineers while collaborating with cross-functional partners.

The Client Engineer II will build user experiences for Spotify, contribute to mobile infrastructure, collaborate with teams, and participate in prototyping and experimentation.

The Senior Client Engineer designs and builds mobile experiences for Spotify, focusing on scalable architecture and mentoring engineers while improving tools and workflows.