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 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 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.

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.

Staff Machine Learning Engineer for Spotify's Home Podcast team, focusing on building and scaling podcast recommendation systems. The role involves hands-on ML development, including designing, evaluating, integrating, and refining reward signals for recommendations, with a focus on transformer-based models and A/B testing.

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.

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.

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.

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.

Data Engineer for Spotify's Artist-First AI Music lab, focusing on building and maintaining large-scale data pipelines, including ML pipelines, using frameworks like Scio and Python on Google Cloud Platform to create generative music products.

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.

Data Scientist role focused on building scalable internal data products for Spotify's advertising platform, involving causal inference, experimentation, pricing, optimization, and AI insights automation. The role works closely with business partners to deliver advertiser value and business growth.

Machine Learning Engineer for Spotify's Subscriptions Mission team, focusing on building ML systems to personalize the subscription journey and optimize the funnel for growth and retention. This role is within the User Understanding space and directly impacts user engagement and subscriber growth.

Senior Engineering Manager for Native Ads within Spotify's Music Mission. This role leads teams building advertising experiences that integrate with the listening journey, focusing on music, advertising, and personalization. It involves managing engineering managers and senior engineers, setting technical direction, driving delivery across distributed systems, and partnering with product and data science on ML-driven solutions.

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.

This role focuses on building and maintaining data pipelines and dbt models to support revenue growth and sales teams. While it involves working with LLM-driven pipelines, the core function is data engineering and analytics for go-to-market operations, not direct AI/ML model development.

Senior Applied Research Engineer focused on improving media quality (audio/video) for Spotify's consumer experience, working across the full media pipeline from backend processing to frontend playback. The role involves building evaluation frameworks, designing perceptual studies, and integrating research prototypes into production systems.

The Annotation Manager will facilitate the collection of labeled datasets used to train and evaluate machine learning systems for Spotify's Content Platform, focusing on Music, Podcasts, and Audiobooks.

The Annotation QA Analyst will create labeled datasets for training and evaluating ML/AI models within Spotify's Content Platform. This role involves working with annotation, data quality, and QA processes in ML/AI environments, including LLM-driven workflows and human-in-the-loop systems. The analyst will review large-scale datasets across various modalities and understand the machine learning lifecycle and emerging AI tools.

Engineering Manager II for Spotify's Learning Infrastructure Studio, focusing on foundational infrastructure and intelligence layer for data science and AI agents. The role involves leading a team, setting technical direction, driving delivery of high-impact initiatives, and staying hands-on with systems. Requires experience managing infrastructure/platform teams and understanding AI's impact on data workflows.

Data Scientist role focused on detecting and preventing user fraud and abuse across Spotify's audio verticals. The role involves analyzing data, investigating trends, and developing advanced methods to protect platform integrity and ensure fair engagement for users and creators.

Senior Backend Engineer for Spotify's Personalization team, focusing on building backend systems for recommendation and adaptive listening experiences used by hundreds of millions of listeners. The role involves collaboration with data science and machine learning teams to power personalized, high-impact features.

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 Security Engineer focused on enterprise security at Spotify, involving IAM, endpoint management, and networking. The role requires building security tooling and automation, defining policies and guardrails, and partnering with various teams. A comfort with AI as both a tool and a security surface is desired.