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Lead the Selection team at Spotify to enhance the messaging platform, focusing on user engagement and retention through collaborative technical roadmaps and advanced decision engines.

The role involves building and scaling machine learning systems for content moderation, designing evaluation frameworks, and developing multimodal models for policy enforcement, while mentoring other engineers.

As a Staff Machine Learning Engineer, you will build ML systems for content understanding, develop classification models, and improve content quality through collaborative work with various teams.

The Staff Machine Learning Engineer builds and scales ML systems for content detection and policy enforcement, collaborating with various teams to ensure safety and compliance in Spotify's user experiences.

The role involves designing and maintaining scalable backend services and developing user-facing layers and SDKs, collaborating with cross-functional teams to enhance platforms for creators.

As an Engineering Manager, you'll lead a distributed team, mentor engineers, oversee delivery quality, support product managers, and engage in hands-on engineering.

Manage integrated marketing campaigns and brand activations, focusing on cultural relevance in the DACH region. Collaborate with cross-functional teams, analyze audience insights, and execute live events.

The role involves designing and deploying machine learning systems for content safety at Spotify, collaborating with various stakeholders, and providing technical leadership.

Build and evolve Android ad experiences at scale, collaborating with cross-functional teams to design, implement, and ship performant, maintainable features. Influence Android architecture, improve app performance and reliability, create reusable components, and contribute to an inclusive team culture.

Lead strategy and execution for Habit Formation across Spotify: define vision and roadmap, partner with engineering/ML/design/research, translate AI/LLM and recommender advances into consumer experiences, use experimentation and behavioral analysis to drive product decisions, and align senior leaders while driving cross-team execution to build sustainable listening habits.