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 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.

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 models, running large-scale experiments, creating practical applications, and collaborating with cross-functional teams to impact Spotify's products. Requires a Ph.D. and experience in generative modeling, machine learning, and related fields, with a strong publication record.

Research Scientist role focused on pioneering and advancing state-of-the-art generative technologies for music, aiming to create breakthrough experiences for fans and artists. The role involves conducting research in music generation and related ML domains, running large-scale experiments, creating practical applications, and publishing findings.

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.

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.

Machine Learning Engineering Manager for the Personalization team, focusing on building and scaling ML systems for recommendations and safety across Spotify's core surfaces and generative AI experiences. The role involves managing teams that develop synthetic data, fairness, and responsible AI approaches.

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.

Engineering Manager to lead a Research Engineering team focused on generative AI for music. The role involves managing engineers, owning the roadmap, ensuring efficient training pipelines, and transitioning research prototypes into production features for millions of users. The team works on state-of-the-art generative technologies for music, focusing on artist-first principles, partnerships, choice, fair compensation, and artist-fan connection.

Senior Research Scientist at Spotify focused on advancing the state of the art in machine learning and AI for personalization systems, with a focus on large-scale foundation models and generative AI. The role involves developing novel methodologies, models, and evaluation frameworks, conducting experiments, and contributing to the research community through publications. Collaboration with cross-functional partners and mentoring are also key aspects.

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.

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

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.

Spotify is seeking a Backend Engineer for its Artist-First AI Music lab to design and build state-of-the-art generative music products. The role focuses on creating new listening experiences for fans and artists, emphasizing artist partnerships, fair compensation, and artist-fan connection through AI tools. The engineer will contribute to shipping AI-powered music products.

Senior Machine Learning Engineer focused on personalization for Spotify's music and podcast features, building recommendation systems and conversational playlist generation tools for hundreds of millions of users.

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.

Director of Machine Learning Engineering for Spotify's Surfaces Foundation team, focusing on personalized recommendation systems that power hundreds of millions of listeners. The role involves leading a group that shapes AI-driven recommendations across all Spotify surfaces, balancing ML infrastructure with product experience and enabling other teams to move faster.

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.

Machine Learning Engineer for Spotify's Personalization team, focusing on improving music and podcast recommendations and search experiences. The role involves bringing emerging search and agentic experiences to a mature state, exploring, defining, building, validating, and optimizing new ideas.

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.

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.

Machine Learning Engineer on the Personalization team at Spotify, focusing on the Samba engine which powers recommendations, autoplay, radio, and personalized mixes. The role involves complex sequencing and optimization problems, balancing user preferences with business and creator needs, and delivering real-time personalization at scale.

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.

Staff Machine Learning Engineer on the Personalization team at Spotify, focusing on recommendation systems for music and podcasts to improve user satisfaction and engagement. The role involves prototyping and productizing state-of-the-art ML models.

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.

Machine Learning Engineer for Spotify's Music Promotion team, focusing on building systems to understand and predict promotion performance for creators, providing actionable insights and data-driven solutions.

Machine Learning Engineering Manager for Spotify's Surfaces Music team, focusing on building and scaling systems for music recommendations across key experiences like Home and Now Playing. The role involves candidate generation, ranking, and embedding models, with a focus on transformer-based personalization for millions of listeners.

Machine Learning Engineer on the Personalization team at Spotify, focusing on recommendation systems to improve user satisfaction. The role involves designing, building, evaluating, integrating, and refining reward signals for recommendations, with a focus on A/B testing and integrating mid-term signals. Requires hands-on ML development and production ML systems experience.

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.

Data Scientist role focused on generative music technologies within Spotify's Artist-First AI Music Lab. The role involves owning analytical projects, developing success metrics for generative features, analyzing A/B tests, performing exploratory analysis, building dashboards, and designing/running evaluations for generative music systems. Collaboration with Product, Design, Research, Marketing, and Engineering is key, with a focus on translating insights into product requirements and integrating evaluation signals into model development.

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.

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.

Senior Machine Learning Engineer role focused on optimizing ad loads for users on Spotify's audio and video platform. The role involves designing and implementing ML systems for ad performance, researching optimization strategies, analyzing user behavior with ML, and collaborating with cross-functional teams. Requires expertise in applied ML, software engineering, data analysis, Python/Java/Scala, Tensorflow/PyTorch, and data pipelines (Beam/Spark). Experience with LLMs, Ray, Adtech, or Recommender Systems is a plus.