Spotify

Machine Learning Engineer focused on building and shipping agentic-based features and interactive experiences for Spotify's personalization mission, leveraging generative AI and LLMs to reshape audio interaction.

Senior Machine Learning Engineer focused on building and shipping agentic-based features and interactive experiences for Spotify's personalization mission, leveraging generative AI and LLMs to create new listening experiences. The role involves designing, prototyping, and productionizing ML systems at scale, with a focus on incorporating human feedback and collaborating with cross-functional teams.

Senior Machine Learning Engineer focused on building production-grade machine learning systems for conversational and agentic AI experiences, including user intent interpretation, context management, multi-turn interactions, and tool orchestration. The role involves creating evaluation frameworks and balancing experimentation with production rigor.

Senior individual contributor role focused on strategic ownership of AI agent behavior, quality, and evolution within Customer Service at Spotify. The role involves defining the long-term vision for AI-driven automation, setting standards for agent reasoning and resolution, and establishing quality and safety frameworks. It requires a strong systems thinking approach and experience with LLMs, RAG, and agent frameworks, but is not a coding or people management role.

Senior Staff Machine Learning Engineer at Spotify focusing on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. The role involves defining and executing ML technical strategy, building next-generation content and user representations, and supporting technical architecture. Responsibilities include hands-on ML development, prototyping, productionizing solutions, and providing technical leadership.

Research Scientist role focused on improving personalization experiences at Spotify by integrating state-of-the-art generative AI technologies into search and recommender systems. The role involves researching, developing, and applying these technologies to practical applications like search, recommendation, and language understanding in audio domains, with a strong emphasis on publishing research and contributing to the wider community.

Staff Machine Learning Engineer on the Policy & Safety team at Spotify, focusing on building systems for content moderation, policy enforcement, compliance, and safety-by-default. The role involves working with detection models, collaborative and agentic features, and ensuring safety is integrated into new product experiences.

Staff Machine Learning Engineer on the Policy & Safety team, responsible for building systems that ensure Spotify's content and product experiences are safe and trustworthy at scale. This involves developing detection models, policy enforcement systems, compliance pipelines, and a safety-by-default platform, particularly for emerging AI-driven features.

Senior Machine Learning Engineer on the Policy & Safety team, focusing on building ML-driven systems for content moderation, policy enforcement, and regulatory compliance within Spotify's consumer experience. This role involves working at the intersection of ML, platform engineering, and compliance to ensure safety and trust across the platform.

Senior Machine Learning Engineer on the Policy & Safety team, responsible for building and scaling ML-driven systems for content moderation, policy enforcement, and compliance within Spotify's consumer experience. This role involves working at the intersection of ML, platform engineering, and regulatory compliance to ensure user safety and trusted interactions.

Engineering Manager to lead a team building the next generation of fleet management and AI agents for Spotify's external developer platform (Portal). The role focuses on redesigning platform engineering around intelligent agents, LLMs, and automation to improve how developers ship and maintain software at scale.

Senior Staff Machine Learning Engineer at Spotify focused on building an agent-powered platform for personalized listening experiences, including features like DJ, Search, and AI Playlists. The role involves working on a shared Agent Engine that powers agent-based experiences across the company, integrating distributed systems, ML, and user experience.

Senior Machine Learning Engineer to build a generative UI system for prototyping at Spotify. The role involves working at the intersection of ML, design systems, and product development to enable teams to prompt for interfaces.

Content Designer for Spotify's Personalization team, focusing on designing prompts, conversational flows, and system language for LLM-powered agentic experiences to shape user discovery and recommendations. This role involves leading content strategy, authoring and evaluating prompts, and partnering with engineering on human-in-the-loop evaluations.

Machine Learning Engineer on the Personalization team at Spotify, focusing on using LLMs for content understanding (music, podcasts, audiobooks) to improve recommendations and user experiences. The role involves hands-on ML development, fine-tuning, RAG, and building scalable systems.