World's most popular audio streaming subscription service, revolutionizing music listening since 2008.

Spotify, the world's leading audio streaming platform, is seeking a Junior iOS Engineer to join their Partner Growth product area within Platform and Partner Experience R&D Studio. This role focuses on driving sustainable partner growth through integrations with major strategic partners like Google, Samsung, Microsoft, and Meta.

The position offers an exciting opportunity to work on extending Spotify's experience across various platforms and building foundations for AI-powered platform integrations. As a Junior iOS Engineer, you'll be instrumental in developing and maintaining partner SDKs, implementing new features, and ensuring robust integrations that scale effectively.

The role combines technical expertise in iOS development with collaborative teamwork, as you'll work closely with cross-functional teams and partner developers. You'll be using modern iOS technologies like Swift, SwiftUI, and UIKit, while following established coding guidelines and workflows to maintain high-quality standards.

Spotify offers a flexible hybrid work environment in Stockholm, requiring three days of office presence per week. The company strongly values diversity and inclusion, welcoming talent from all backgrounds to contribute to their mission of unlocking human creativity. This is an excellent opportunity for an entry-level iOS developer to join a company that has transformed the music industry and continues to innovate in the audio streaming space.

Working at Spotify means being part of a mission to connect millions of creators with billions of fans worldwide, while helping artists live off their art. The company's culture emphasizes continuous improvement, team success, and making an impact in the global audio streaming industry.

Junior iOS Engineer position at Spotify focusing on partner integrations and SDK development, working with major tech partners to extend Spotify's reach.

Junior iOS Engineer - Partner Integrations

Global music and audio streaming platform revolutionizing how people listen to and discover music.

Join Spotify's Platform Developer Experience (PDX) team as a mid-level Fullstack Engineer, where you'll play a crucial role in enhancing developer productivity across the organization. This position offers an exciting opportunity to work with a small, agile team focused on improving developer workflows and establishing engineering standards.

As a Fullstack Backend Engineer, you'll be at the forefront of developing and maintaining tools that make Spotify's engineering processes more efficient. Your work will span across backend, frontend, and data domains, with a particular emphasis on backend development. You'll be involved in creating Backstage plugins, managing datasets, and implementing various developer experience improvements.

The role combines technical expertise with product thinking, requiring proficiency in languages like Java, TypeScript/JavaScript, and Python. You'll work in a flexible, hybrid environment based in either Stockholm or London, collaborating with teams across Spotify's engineering organization. This position is perfect for a generalist developer who enjoys working across the tech stack and has a passion for improving developer workflows.

What makes this role unique is the opportunity to work with cutting-edge technologies, including Generative AI solutions, while contributing to the productivity of one of the world's leading music streaming platforms. You'll be part of a team that values innovation, collaboration, and continuous improvement, making a direct impact on how Spotify's engineering teams work and deliver.

Mid-level Fullstack Backend Engineer role at Spotify focusing on improving developer experience through tools, systems, and productivity improvements.

Fullstack Backend Engineer - Platform Developer Experience

A global music and podcast streaming platform that connects artists and listeners through personalized experiences.

Spotify's Personalization teams are at the forefront of creating beloved features like Daily Mix and Discover Weekly. The Fritz team specifically focuses on next-content recommendation using machine learning models that operate in real-time. As a Machine Learning Engineer II, you'll be part of a team that's migrating training infrastructure to Ray and continuously innovating to increase user engagement.

The role involves working with cutting-edge ML technologies to solve complex personalization challenges for hundreds of millions of active users. You'll be collaborating with cross-functional teams including user research, design, data science, and product management to create features that meaningfully connect artists and fans.

The position offers competitive compensation and comprehensive benefits, including healthcare, parental leave, and retirement plans. You'll work in a flexible environment within the Eastern Standard time zone, with the opportunity to be based anywhere in North America where Spotify has a work location.

This is an excellent opportunity for an experienced ML practitioner who wants to impact how millions of people discover and enjoy music and podcasts. You'll be working with state-of-the-art technologies and frameworks while contributing to a collaborative culture of ML excellence at Spotify.

Mid-level Machine Learning Engineer position at Spotify focusing on personalization and recommendation systems, offering competitive salary and benefits.

Machine Learning Engineer II, Personalization

A global audio streaming platform serving 600+ million Monthly Active Users and 8,000 employees worldwide.

Spotify, the leading global audio streaming platform serving over 600 million Monthly Active Users, is seeking a Senior Fullstack Engineer to join their Data Quality and Observability team. This role is crucial in maintaining the platform that processes more than 2 petabytes of data daily and supports over 8,000 employees worldwide.

The position offers an exciting opportunity to work on innovative tools that ensure data accuracy and reliability across Spotify's extensive ecosystem. As a Senior Fullstack Engineer, you'll be instrumental in building and enhancing observability and quality tooling that empowers developers and data practitioners throughout the company.

The role combines technical excellence with leadership responsibilities, requiring expertise in Java, TypeScript, React, and cloud infrastructure. You'll work in a collaborative environment, leading cross-functional teams and contributing to the strategic vision for data observability. The position offers competitive compensation ($182,962 - $228,702 plus equity) and comprehensive benefits including health insurance, parental leave, and flexible work arrangements.

This is an ideal opportunity for a seasoned engineer who wants to make a significant impact at scale, working on solutions that directly affect millions of users' experience with services like Discover Weekly and AI DJ. The hybrid work environment based in New York offers flexibility while maintaining collaborative opportunities with talented teams.

If you're passionate about data platforms, have a track record of delivering robust technical solutions, and want to shape the future of how Spotify handles data, this role offers the perfect blend of technical challenges, leadership opportunities, and real-world impact.

Senior Fullstack Engineer role at Spotify focusing on data platform development, quality, and observability tools.

Senior Fullstack Engineer – Data Platform

Global music and audio streaming platform offering personalized content delivery

Join Spotify's Now Playing View team as a Senior Machine Learning Engineer to revolutionize user engagement with currently playing content. As a founding ML engineer, you'll be instrumental in developing and deploying models that power personalized recommendations across Music, Podcasts, and Audiobooks. The role offers an exciting opportunity to work with distributed systems and ML at scale, collaborating with talented engineers in a remote-friendly environment.

The position involves architecting end-to-end ML systems, working closely with Backend and Data engineers to meet latency requirements, and shaping the team's ML strategy. You'll be part of an autonomous, cross-functional agile team, coordinating technical projects across Spotify while maintaining high standards for optimization and quality.

We're looking for someone with proven technical leadership experience and deep expertise in machine learning, particularly in recommender systems. Your strong background in feature engineering, scalable data pipelines, and frameworks like TensorFlow will be essential. The role offers competitive compensation, comprehensive benefits, and the flexibility to work remotely within North America.

This is an exceptional opportunity to impact millions of users' experience while working with cutting-edge ML technologies in a collaborative, innovation-driven environment. You'll help shape the future of content discovery and personalization at one of the world's leading streaming platforms.

Senior ML Engineer role at Spotify focusing on personalization and recommendation systems for the Now Playing View team, offering competitive salary and remote work options.

Senior Machine Learning Engineer, Personalization

A global music and podcast streaming platform pioneering personalized listening experiences.

Spotify's Personalization team is seeking a Senior Machine Learning Engineer to join their innovative team responsible for beloved features like Discover Weekly and AI DJ. This role focuses on advancing personalized sessions with generative voice AI, specifically working with the Text-to-Speech (TTS) team called Speak. The position offers the opportunity to shape the future of audio recommendations and user experiences at one of the world's leading streaming platforms.

The role combines deep technical expertise in machine learning optimization with infrastructure management, requiring skills in both ML model deployment and scalable systems architecture. You'll be working at the intersection of research and production, translating cutting-edge ML models into efficient, production-ready systems that serve millions of users.

Working with Spotify means joining a company at the forefront of AI applications in audio technology. You'll collaborate with world-class researchers and engineers, solving complex challenges in speech synthesis and personalization. The position offers remote work flexibility within the European region, operating in the GMT/CET timezone, and provides the chance to impact how millions of users discover and enjoy audio content.

This is an ideal opportunity for someone passionate about machine learning, audio technology, and building scalable systems. You'll be instrumental in developing next-generation features that combine AI with audio experiences, working with modern technologies like PyTorch and Kubernetes in a collaborative, innovation-driven environment.

Senior ML Engineer role at Spotify focusing on personalization and voice AI, building scalable ML infrastructure and optimizing models for production.

A leading music and podcast streaming platform that develops personalized listening experiences for users worldwide.

Join Spotify's Personalization team, the innovative force behind beloved features like Discover Weekly and AI DJ. As a Machine Learning Engineer II, you'll be at the forefront of developing prompt-based playlists and listening sessions, specifically working on the AI Playlist feature. The role combines cutting-edge LLM technology with practical implementation, requiring expertise in machine learning and production-level development. You'll work with a team that directly impacts millions of users' listening experiences, making music discovery more enjoyable and personalized. The position offers competitive compensation, comprehensive benefits, and the flexibility of remote work within North America. Spotify's commitment to work-life balance is evident through generous leave policies and flexible holidays. This is an opportunity to shape the future of music recommendation technology at a global scale while working with state-of-the-art AI systems.

Machine Learning Engineer II position at Spotify, focusing on AI-powered playlist personalization and recommendation systems using LLM technology.

A global music and podcast streaming platform connecting creators with listeners through personalized recommendations.

Spotify's Personalization team is seeking a Senior Machine Learning Engineer to join their innovative group responsible for beloved features like Blend and Discover Weekly. This role offers an exciting opportunity to impact millions of users' listening experiences through advanced recommendation algorithms. As a senior ML engineer, you'll work at the intersection of cutting-edge machine learning and practical application, collaborating with a diverse team of engineers, scientists, and product specialists.

The position involves developing and implementing sophisticated ML solutions that connect creators with listeners in personalized ways. You'll be working with state-of-the-art technologies and frameworks, handling large-scale data processing, and contributing to Spotify's mission of revolutionizing music and podcast discovery.

The role offers the flexibility of remote work within the European region (GMT/CET timezone), providing an opportunity to join a global team at one of the world's leading streaming platforms. You'll be part of a collaborative environment that values innovation, user-focused development, and technical excellence.

This is an ideal position for an experienced ML engineer who is passionate about applying theoretical knowledge to real-world problems, enjoys working with large-scale systems, and wants to impact how millions of people discover and enjoy content. The role combines technical challenges with creative problem-solving, offering the chance to work on products that shape the future of digital entertainment.

Senior Machine Learning Engineer position at Spotify, focusing on personalization and recommendation systems, offering remote work within Europe.

Music streaming platform building tools and services for music creators and fans

Spotify is seeking a Backend Engineer to join their Music Mission engineering organization, specifically the Crescendo squad within the Music Promotion and Spotify for Artists Growth product area. This role is crucial in building tools and services that enable music creators to create, promote, express, and monetize their work at scale.

The position involves working with a team focused on crafting communication channels with customers across the Spotify for Artists experience. You'll be responsible for developing backend services in Java, working with both relational and non-relational databases, and building platforms that empower product and marketing teams to reach artists effectively.

As a Backend Engineer, you'll be solving complex architectural challenges around access and authorization, while collaborating with cross-functional teams to develop scalable solutions. The role requires expertise in Java programming, database management, and cloud technologies, particularly Google's GCP platform.

The team operates in a fast-paced, innovative environment where you'll have opportunities for individual growth through hack time, reading groups, lectures, and various internal training courses. You'll be working remotely within the North American region, collaborating in the EST time zone.

The position offers a competitive salary range of $125,562 - $179,374 plus equity, along with comprehensive benefits including health insurance, parental leave, retirement plans, and generous paid time off. This is an excellent opportunity for experienced developers who are passionate about building tools that help artists succeed on one of the world's leading music platforms.

Backend Engineer position at Spotify focusing on building services and tools for the Music Mission organization, requiring Java expertise and database management skills.

Backend Engineer - Music

Global music and audio streaming platform offering millions of songs and podcasts.

Join Spotify, the world's leading music streaming platform, as a Backend Engineer where you'll help shape the future of how millions of users experience music and audio content. You'll be working with a diverse team of engineers, product managers, and designers to build and maintain scalable backend services that power our global streaming platform.

Our engineering culture emphasizes collaborative problem-solving, innovative thinking, and continuous learning. You'll be involved in designing and implementing critical backend systems that handle millions of requests per second, working with modern technologies and practices including microservices architecture, cloud computing, and data streaming.

As a Backend Engineer, you'll have the opportunity to work on challenging technical problems at scale, from optimizing data processing pipelines to implementing new features that enhance user experience. We value engineers who bring both technical expertise and creative problem-solving skills to the table.

The role offers significant growth opportunities, with exposure to cutting-edge technologies and the chance to work with some of the best engineers in the industry. You'll be supported by a culture that promotes work-life balance, professional development, and inclusive collaboration.

If you're passionate about building large-scale systems that impact millions of users worldwide and want to be part of a company that's revolutionizing the music industry, this role at Spotify could be perfect for you.

Backend Engineer position at Spotify focusing on building scalable systems for music streaming platform

Spotify Engineering Jobs

World's most popular audio streaming subscription service, revolutionizing music listening since 2008.