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 Machine Learning Engineer focused on building production-grade machine learning systems for conversational and agentic AI experiences in personalization at Spotify. The role involves designing and shipping systems that interpret user intent, manage context, orchestrate tools, and utilize evaluation frameworks like LLM-as-judge.

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.

Backend Engineer role focused on building and owning real-time recommendation and content discovery systems for Spotify's Now Playing View. The role involves integrating with ML serving infrastructure, ensuring low latency, and designing systems for agent-generated code, with a strong emphasis on A/B testing and production reliability.

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.

Fullstack Engineer II role focused on building AI-native conversational analytics experiences using LLMs to allow teams to explore and understand data intuitively. The role involves building end-to-end features, designing AI-native workflows for natural language data querying, and integrating LLMs into production systems.

Backend Engineer for Spotify's OASIS team, focusing on promotion delivery and optimization within Discovery Mode. The role involves building and operating systems that intelligently allocate promotional content by balancing complex objectives, working closely with Personalization teams. The engineer will own a core piece of infrastructure for promotion delivery at scale and is expected to leverage AI to improve systems, with exposure to data and ML workflows.

Senior Fullstack Engineer to build and scale Spotify's internal generative UI prototyping platform, evolving it into a full generative UI system where teams can prompt for interfaces. The role involves shaping core technical decisions, leading initiatives, and elevating engineering standards within the platform team.

Fullstack Engineer to scale Spotify's internal generative UI prototyping platform, evolving it into a full generative UI system where teams can prompt for interfaces. The role involves shaping architecture, evolving core systems, and delivering developer-facing platform functionality.

Senior Site Reliability Engineer for Spotify's Backstage team, focusing on building and operating AI-native infrastructure for a developer platform and internal coding agents. The role involves ensuring reliability, scalability, and security for cloud infrastructure (GCP/AWS) supporting LLM-driven agent workflows and non-deterministic AI workloads, with an emphasis on incident management, operational excellence, and mentoring.

Site Reliability Engineer for Spotify's Backstage platform, focusing on building and operating AI-native infrastructure for developer tools, including background coding agents and SaaS infrastructure supporting LLM-powered workflows. The role involves modern Infra-as-Code on GCP/AWS with Terraform, operating in a fullstack environment, and ensuring reliability for agentic production systems.