Spotify

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.

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.

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.

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.

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.

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.

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.

Engineering Manager for Spotify's Core Experience Studio, leading the Meadow backend platform team which powers scalable, content-agnostic metadata delivery across various Spotify experiences like music, podcasts, and audiobooks.

Engineering Manager for Spotify's Social Listening team, focusing on building and enhancing real-time music sharing experiences like Jam. The role involves leading a cross-functional team to shape the consumer experience across various platforms.

Engineering Manager for the Content Platform team at Spotify, responsible for leading a team that ensures efficient and reliable delivery of content (metadata and media) across Spotify's ecosystem to apps and partner platforms. This role focuses on scalable, observable, and resilient systems that underpin content ingestion, understanding, governance, and distribution.

Director of Engineering for Spotify's consumer experience, focusing on the systems that define, structure, and govern all content across the platform. The role involves shaping technical direction, developing teams, and evolving systems for a large-scale content ecosystem, ensuring accuracy, completeness, and availability while maintaining trust and quality in a growing and complex environment, including new formats, use cases, and regulatory considerations.

Backend Engineer on the Release squad within Client Platform Studio, focusing on building tools, systems, and workflows for safe, fast, and confident software releases for thousands of Spotify engineers. The role emphasizes reliability, developer productivity, and standardization for internal platforms impacting software delivery at scale.

Senior Engineer on the Mobile iOS Platform team at Spotify, focusing on evolving the architecture, improving developer experience, and building platform-level components for mobile applications. The role involves designing and implementing strategies for system development and testing, enabling interoperability between iOS and C++ codebases, and contributing to technical strategy. The role explicitly mentions using AI tools for exploration and prototyping but is not an AI/ML development role.

Senior Mobile Engineer role focused on the client networking stack, including HTTP requests, real-time messaging, and connection state management. The role involves working on mobile platforms and backend systems to ensure seamless connectivity for users globally, shaping client-server communication, protocols, and reliability at scale.

Backend Engineers to join Spotify’s Core Infrastructure team, focusing on content delivery management (CDN) and the internal platform supporting it, to enable engineers to deliver reliable and scalable experiences globally.

Senior Full Stack Engineer for Spotify's audiobook creator platform, focusing on a web application that manages catalogs, tracks performance, and distributes content. The role involves working with React/TypeScript frontend, Java backend services, and data pipelines within Spotify's broader audiobook ecosystem.

Senior Backend Engineer for Spotify's Subscriptions Mission, focusing on building and scaling products, platforms, and business models that convert free listeners to Premium subscribers. The role involves driving acquisition, optimizing conversion, improving retention, and delivering seamless commerce experiences. The engineer will work on systems powering merchandising, personalization, and global subscription experiences, leveraging data to enhance user value and retention for Spotify's 700M+ MAU and 290M+ Premium subscribers.

Senior Backend Engineer for Spotify's Subscriptions Mission team, focusing on building and evolving systems for user discovery, trial, and subscription to Spotify's services. The role involves shaping the user journey from awareness to conversion, working across engineering, product, design, research, and marketing to create scalable experiences for millions of users.

Engineering Manager for Spotify's Subscriptions team, focusing on the commerce systems that power subscription products and impact global revenue. The role involves leading teams to build and maintain scalable, reliable, and innovative systems for subscription management.

Senior Backend Engineer role focused on building and operating the backend systems for Spotify's global commerce platform, including purchases, billing, invoicing, and payments. The role involves designing and developing scalable distributed systems, collaborating with cross-functional teams, and improving system performance and reliability.

Engineering Manager for Core Infrastructure at Spotify, leading a team focused on building and evolving foundational systems that power the company's scale, resilience, performance, and developer productivity. The role involves setting direction, driving technical excellence, and fostering team growth within the Platform mission.

Data Analyst II role focused on performance engineering and addressing systemic inefficiencies across Spotify's platform, building the measurement foundation for decision-making. The role involves analyzing data to drive efficiency improvements and cost savings within a large microservice architecture.

Senior Backend Engineer for Spotify's Audiobooks Mission, focusing on building and scaling systems for audiobook ingestion, processing, and delivery. The role involves backend and data-focused development, with a need to contribute across the stack and take operational responsibility for services.

Senior Fullstack Engineer for Spotify's Commerce Platform, focusing on the Payment SDK squad. This role involves working on systems that process large volumes of transactions and support the global purchase experience, ensuring the payment infrastructure is scalable, reliable, and innovative.

Senior Backend Engineer for Spotify's Music Mission team, focusing on the Rights Systems team which builds and operates Spotify Rights Center (SRC), a rights management platform for music licensing. The role involves developing tools and services for creators and partners, underpinning Spotify's strategy for various content types. The team recently shipped SRC and is scaling.

Senior Backend Engineer for Spotify's Subscriptions Mission, focusing on building and scaling backend systems and data foundations for merchandising, conversion, and upsell journeys. The role involves designing and operating scalable Java services, collaborating within cross-functional teams, improving data pipelines, and supporting production systems.

Senior Software Engineer role focused on building and evolving the C++ integration layer for Spotify's audio and video playback on TV devices. This involves integrating with native media frameworks, owning critical playback areas, debugging performance issues, and collaborating with platform and device teams.

Senior Project Manager for Workplace Experience Design & Build at Spotify, responsible for the full project lifecycle of office transformations globally. This includes managing scope, requirements, financials, timelines, risks, and performance monitoring. The role also involves technical excellence in design, building systems coordination, planning, compliance, and vendor orchestration. Requires 5+ years of experience, a Bachelor's degree, familiarity with architectural drawings and PM software, and a global mindset. Based in Stockholm.

Senior C++ Engineer for Spotify's Client Platform Studio, focusing on improving mobile app architecture, implementing isolation strategies, and enabling interoperability within the iOS codebase. The role emphasizes creating foundational building blocks for feature engineers to enhance developer experience and product quality.

Data Scientist II on the SAFE Insights team at Spotify, focusing on creating technology for learning and scaling. The role involves designing and building performance metric frameworks, creating data pipelines, exploring datasets for patterns, scoping and executing A/B tests, applying causal inference methods, and creating data visualizations to influence decision-making within the SAFE Alliance (User Platform, User Fraud, IT, Security, PACE).

Spotify is hiring a C++ Engineer for their Platform Engineering team, focusing on client continuous integration (CI) infrastructure. The role involves owning and evolving the CI platform to ensure smooth, reliable, and fast integration of code changes across all client repositories (Android, iOS, desktop, embedded). Responsibilities include improving build reliability, performance, and observability, contributing to the technical roadmap, developing automation in Python and C++, and collaborating with other teams to align CI systems with developer needs. The ideal candidate has experience with CI infrastructure, Python and C++, Bazel, gRPC/Protobuf, Git, and a deep understanding of software architecture and CI/CD fundamentals.

Android Engineer focused on building the next generation of observability and performance tooling for client developers at Spotify. This role involves developing tools for measuring and acting on quality/stability, working across the stack from client data gathering to backend processing and presentation, and performing deep-dive Android profiling.

Engineering Manager for Spotify's Experimentation platform (Confidence), a commercial SaaS product. The role involves managing a distributed team of engineers, coaching, mentoring, and ensuring high-quality deliveries. The team works on distributed systems, data warehouses, and takes features from zero to one. AI is mentioned as a tool to enhance effectiveness.