Spotify

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.

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, 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, 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.