Spotify

Senior Research Scientist to join the Artist-First AI Music lab, focusing on pioneering and advancing state-of-the-art generative technologies for music. The role involves conducting research in music generation, ML-based audio processing, and related domains, running large-scale experiments, creating practical applications, and publishing findings. The goal is to invent new listening experiences that center artists and creatives, with a focus on fair compensation, artist-fan connection, and artist choice in participation.

Research Scientist role focused on generative AI for music, involving research in music generation, audio processing, and related ML domains. The role will run large-scale experiments, create practical applications, and publish research findings. It requires a PhD and experience in generative modeling, ML, and audio processing, with strong coding skills in Python and PyTorch.

Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding across audio, video, text, and images at Spotify. The role focuses on enabling automation, improving quality, and unlocking new product experiences for millions of listeners and creators.

Engineering Manager to lead a Research Engineering team focused on generative AI for music. The role involves managing engineers, owning the engineering roadmap, ensuring efficient training pipelines, and transitioning research into production features for a large user base.

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.

Senior Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding, safety, and decisioning within Spotify's consumer experience. This role focuses on shaping the architecture and technical strategy for evaluating, governing, and safely delivering content globally, impacting both listeners and creators.

Director of Machine Learning Engineering for Spotify's Surfaces Foundation team, focusing on personalized recommendations for hundreds of millions of users. The role involves leading a team that shapes AI-driven recommendations across all Spotify surfaces, bridging ML infrastructure and product experience, and overseeing serving and evaluation systems.

Senior Staff Machine Learning Engineer to build and scale ML systems for content safety, policy enforcement, and compliance at Spotify. The role focuses on automated systems that evaluate and act on content, ensuring decisions are consistent, explainable, and reliable at scale, which is critical for maintaining trust.

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.

Machine Learning Engineer role focused on personalization at Spotify, powering features like autoplay, radio, and personalized mixes. The role involves working on complex sequencing and optimization problems, balancing user preferences with business and creator needs, and delivering real-time personalization at scale. It blends machine learning, backend engineering, and data expertise.

Staff Machine Learning Engineer on the Personalization team at Spotify, focusing on building and productizing ML models for recommendation systems to improve user satisfaction and listening experience. The role involves collaboration with researchers and data scientists to enhance Home recommendation systems.

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.

Security Engineer focused on protecting Spotify's platform and users, with a specific emphasis on securing AI/ML systems and generative AI applications. The role involves integrating security best practices, conducting threat modeling, evaluating security tools for AI/ML, and contributing to incident response for AI systems.