A global music and audio streaming platform delivering personalized content to millions of users worldwide.

Spotify's Experience team is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on enriching the lives of millions of users worldwide through advanced ML solutions. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position offers an opportunity to work with a diverse team of professionals averaging 11 years of music industry experience, including product specialists, ML engineers, data engineers, and backend developers. You'll be at the forefront of expanding Spotify's AI capabilities, using world-class engineering and machine learning techniques on real-world big data.

The role combines hands-on ML development with practical implementation at scale, serving hundreds of millions of active users. You'll be involved in everything from prototyping new approaches to production deployment, working in a collaborative, agile environment alongside design, data science, product management, and engineering teams.

Key projects include developing audio fingerprinting systems for podcast music recognition (ensuring proper royalty distribution), implementing video and image tagging for content moderation, creating graph ML approaches for audiobook author attribution, and building classification systems for catalog content management.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a global leader in audio streaming technology. Based in New York City, you'll be part of a team that's pushing the boundaries of AI-based machine technology to enhance the Spotify experience for users worldwide.

Machine Learning Engineer role at Spotify focusing on content understanding, audio fingerprinting, and ML systems at scale.

Machine Learning Engineer - Content Understanding

A global music and audio streaming platform serving millions of users worldwide.

Spotify is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on building and deploying ML solutions at scale. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position sits within the Experience team, which is dedicated to delivering the best Spotify experience to millions of users worldwide. You'll be part of a diverse team averaging 11 years of music industry experience, including product managers, ML engineers, data engineers, and backend engineers.

As an ML Engineer, you'll work on production systems that directly impact user experience, prototype new approaches, and scale solutions for hundreds of millions of active users. The role requires expertise in applied machine learning, strong programming skills (especially Python), and experience with cloud platforms and data pipelines.

You'll collaborate with cross-functional teams spanning design, data science, product management, and engineering to build innovative features. The position offers the opportunity to work on real-world problems using state-of-the-art AI technology, directly influencing how users interact with Spotify's vast music catalog.

The role is based in London with a hybrid work arrangement, offering the flexibility to balance office and remote work while being part of a global team pushing the boundaries of music technology and user experience.

Machine Learning Engineer position at Spotify focused on content understanding, audio fingerprinting, and ML systems at scale.

Leading music and podcast streaming platform building creator tools and technologies.

Spotify's Podcast Mission team is seeking a Backend Engineer to join their innovative group focused on building best-in-class tools for podcast creators. This role is integral to expanding Megaphone, Spotify's enterprise podcasting solution, through critical integrations with broader Spotify technology. You'll be working with modern technologies like Kubernetes, Ruby on Rails, and Java to develop enterprise-grade backend services.

The position offers the flexibility of remote work within EST, CST, and PST time zones, with competitive compensation including a base salary range of $122,716 - $175,308 plus equity. The comprehensive benefits package includes health insurance, generous parental leave, retirement plans, and ample paid time off.

As a Backend Engineer, you'll be at the forefront of unifying Spotify's creator technologies, working on solutions that empower podcasters to host, create, distribute their content, and monetize their art. The role requires 2+ years of experience with Ruby on Rails or Java, and you'll be part of a collaborative team that's shaping the future of podcast creation and distribution.

The ideal candidate will bring not only technical expertise but also a genuine interest in the podcast industry and a drive to solve creators' challenges. You'll be working with a diverse tech stack and will have the opportunity to contribute to projects that directly impact millions of podcast creators and listeners worldwide.

Join Spotify's mission to build the world's leading podcast creator platform, where your technical skills will help shape the future of digital audio content creation and distribution.

Backend Engineer position at Spotify focusing on podcast creator tools and platform development, offering remote work and competitive compensation.

Backend Engineer - Podcast

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

Join Spotify's Safe-and-Sound team as a Machine Learning Engineer focused on Personalization. You'll be part of a crucial initiative making Spotify safe and enjoyable for every listener, working on beloved features from podcast recommendations to AI Playlists. The role involves building Responsible AI solutions through deep understanding of music, podcasts, and user behavior.

You'll work in a dynamic environment, collaborating with cross-functional teams including user research, design, data science, product management, and engineering. Your mission will be to create and implement personalized machine learning solutions that connect artists and fans in meaningful ways. The position offers the opportunity to impact hundreds of millions of active users through large-scale ML systems.

The role combines technical expertise in machine learning, particularly in recommender systems, with practical implementation skills using languages like Java, Scala, or Python. You'll be part of an active community of ML practitioners, contributing to Spotify's culture of innovation while ensuring responsible AI development.

Working at Spotify means joining a distributed workforce with flexible location options within the Americas region. The company offers comprehensive benefits including health insurance, parental leave, retirement plans, and generous time off. You'll be part of a team that values both technical excellence and user experience, working in the Eastern Standard time zone for collaboration.

This is an opportunity to shape the future of music and podcast discovery while ensuring safe and personalized experiences for millions of users. Your work will directly impact how people discover and enjoy content on one of the world's leading streaming platforms.

Senior Machine Learning Engineer position at Spotify focusing on personalization and responsible AI development for music and podcast recommendations.

Machine Learning Engineer, Personalization

Spotify is a global music and podcast streaming platform developing tools for podcast creators.

Spotify's Podcast Mission team is seeking a Backend Engineer to join their innovative product and technology team dedicated to building tools for podcast creators. This role offers an exciting opportunity to work on sophisticated publishing platform challenges while developing and maintaining Ruby on Rails applications and Java microservices. You'll be part of a team that enables podcasters to host, build, distribute, monetize, and grow their podcasts through various content management capabilities.

The position offers competitive compensation ranging from $122,716 to $175,308 plus equity, along with comprehensive benefits including health insurance, generous parental leave, and flexible time off. Working remotely within the EST timezone, you'll collaborate with cross-functional teams to solve complex technical challenges and create outstanding creator experiences.

The ideal candidate should be proficient in Ruby on Rails and Java microservices, with a passion for end-to-end user experiences and software architecture. You'll have the opportunity to work on impactful projects, from frontend to backend development, while maintaining high coding standards and embracing best practices.

This role is perfect for someone who values collaboration, understands business impact, and can balance technical complexity with practical solutions. You'll be part of Spotify's mission to revolutionize the podcast creator experience, working with a team that's dedicated to building tools that help podcasters understand and engage with their audience effectively.

Backend Engineer position at Spotify focusing on podcast creator tools development using Ruby on Rails and Java microservices.

A global audio streaming platform revolutionizing the audiobook industry through their Premium model.

Spotify is revolutionizing the audiobook industry through their innovative Audiobooks in Premium model, seeking a Backend Engineer to join their dynamic team. This role focuses on building and optimizing the systems that power Spotify's audiobook content delivery platform. You'll be instrumental in designing scalable architectures, ensuring seamless content integration, and maintaining high-performance systems that serve millions of users.

The position offers an exciting opportunity to work with cutting-edge technologies while solving complex challenges in content delivery and metadata management. You'll be part of a team that's building the future of audio content consumption, working with modern tech stack including Java, Python, and Node.js, along with cloud platforms and containerization tools.

As a Backend Engineer, you'll take ownership of critical systems, contribute to technical documentation, and collaborate with cross-functional teams to deliver innovative features. The role combines technical expertise with strategic thinking, as you'll be responsible for both immediate system optimization and long-term scalability planning.

Spotify offers a competitive compensation package, including equity, comprehensive health benefits, and generous paid time off. The company embraces a distributed workforce model, providing flexibility in work location and schedule while maintaining collaboration through Eastern Standard time zone operations. This is an excellent opportunity for engineers who are passionate about building high-quality systems at scale and want to be part of transforming the audiobook industry.

Backend Engineer position at Spotify focused on building and optimizing audiobook content delivery systems, offering competitive salary and remote work flexibility.

Backend Engineer, Audiobooks

Join Spotify's Safe-and-Sound team, where you'll work on making the platform safe and enjoyable for millions of listeners worldwide. As a Senior Machine Learning Engineer focusing on Personalization, you'll be at the forefront of developing Responsible AI solutions that power some of Spotify's most popular features, from podcast recommendations to AI Playlists.

You'll be working in a dynamic environment where you'll collaborate with cross-functional teams to design and implement ML solutions that ensure safe and personalized experiences for hundreds of millions of active users. The role combines technical expertise in machine learning, natural language processing, and generative AI with practical application at scale.

The position offers the flexibility of remote work within the Americas region, operating in the Eastern Standard time zone. You'll be part of an active community of ML practitioners, contributing to both technical innovation and best practices across the organization. The compensation package is competitive, including a base salary range of $171,903 - $245,575, plus equity and comprehensive benefits.

This is an excellent opportunity for experienced ML practitioners who want to make a real impact on how millions of people experience music and podcasts. You'll be working with cutting-edge technology while ensuring that Spotify's personalization features remain safe and effective for every user. The role combines technical challenges with the satisfaction of improving the listening experience for a global audience.

Senior Machine Learning Engineer position at Spotify, focusing on developing safe and personalized AI solutions for music and podcast recommendations.

Senior Machine Learning Engineer, Personalization

A leading technology company that created Backstage, an open source platform for building developer portals.

Spotify is seeking a Senior Developer Advocate for Backstage, their innovative open-source platform for building developer portals. Originally created at Spotify and now adopted by thousands of companies including Fortune 100 organizations, Backstage helps restore order to microservices and infrastructure while enabling rapid, high-quality code deployment.

The role combines technical expertise with advocacy, requiring someone who can bridge the gap between product development and community engagement. You'll be part of the Backstage Product Area, working to fulfill their mission of unleashing developer creativity and innovation while creating delightful experiences.

As a Senior Developer Advocate, you'll create technical content, build relationships with the community, support sales efforts, and represent Backstage at various events. You'll work directly with customers and partners, gathering feedback and supporting their Backstage journey. This position offers the opportunity to influence the future of developer experience platforms while working with cutting-edge technology.

The ideal candidate brings a strong technical background in software engineering or DevOps, with expertise in modern web development technologies and cloud platforms. You'll need excellent communication skills and the ability to engage with diverse audiences, from developers to executive stakeholders. This role offers the chance to work at the intersection of technology, community building, and product development in a fast-paced, innovative environment.

Working from either London or Stockholm, you'll be part of a distributed team that's reshaping how organizations manage their developer experience. This is an excellent opportunity for someone passionate about developer tools and platforms who wants to make a significant impact in the developer experience space.

Senior Developer Advocate position at Spotify, focusing on Backstage platform advocacy, technical content creation, and community engagement.

Senior Developer Advocate - Backstage

Global music and audio streaming platform transforming the digital music industry.

Spotify is seeking a Backend Engineer to join their Subscriptions R&D team within the Commerce Platform. This role focuses on developing core capabilities managing multiple backend services and data sets that power Invoicing, Receipts, Payment Orchestration, and purchase flows end-to-end. The position offers an excellent opportunity for both early-career engineers and experienced professionals looking for new challenges.

The role involves working with complex systems at high scale, implementing changes that impact Spotify's commerce ecosystem. You'll be part of a team responsible for developing services and data pipelines aimed at improving capabilities and providing a resilient, high-performing commerce platform. The position requires expertise in Python or Java, familiarity with cloud platforms, and database technologies.

Working in a collaborative environment, you'll interact with teams across Spotify, contributing to the platform's evolution while gaining exposure to backend, data, and ML-based systems. The role demands strong problem-solving abilities, excellent communication skills, and a dedication to teamwork. Experience in e-commerce or financial engineering domains is valuable but not mandatory.

Based in either London or Stockholm, you'll be part of Spotify's innovative engineering culture, working on solutions that impact millions of users worldwide. This position offers the perfect blend of technical challenges and professional growth opportunities, allowing you to contribute to one of the world's leading music and audio streaming platforms while developing your expertise in complex backend systems and commerce technologies.

Backend Engineer position at Spotify focusing on subscriptions and commerce platform development, offering hybrid work in London or Stockholm.

Backend Engineer - Subscriptions

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

Spotify, the world's leading audio streaming platform, is seeking a Partner Engineer I for their Car Experience team in Stockholm. This role is crucial in bridging the gap between Spotify's automotive partners and internal teams, focusing on the seamless integration of Spotify into vehicles worldwide.

The position offers an exciting opportunity to work at the intersection of automotive technology and music streaming, where you'll be responsible for ensuring millions of users have an exceptional experience using Spotify in their cars. You'll serve as the technical expert for partner integrations, specifically focusing on Android Automotive app integration with partners' systems and APIs.

As a Partner Engineer, you'll lead partner-specific projects, manage technical relationships, and drive improvement initiatives. Your role will involve complex problem-solving, from diagnosing partner-reported issues to translating partner requirements into actionable engineering tasks. You'll work closely with multiple teams, including Tech, Product, and Automotive, requiring excellent communication skills and technical expertise.

The ideal candidate should have a strong foundation in software development, particularly with languages like Java, JavaScript, or PHP, and a solid understanding of distributed systems and APIs. You'll need to be adaptable, comfortable with flexible working hours for international collaboration, and possess a valid driver's license for occasional partner visits.

Join Spotify's inclusive workplace culture where diversity is celebrated and innovation is constant. You'll be part of a company that has transformed the music industry and continues to revolutionize how the world listens to audio content. This role offers the unique opportunity to impact millions of users' daily listening experiences while working with cutting-edge automotive technology.

Partner Engineer role at Spotify focusing on automotive integrations, requiring software development experience and strong communication skills.

Partner Engineer I, Car Experience

Spotify is a leading global music streaming platform transforming the digital music industry.

Spotify is seeking a motivated C++ Software Engineer to join their XData, Experience Mission team. The role focuses on developing and maintaining software systems that integrate with Spotify's playback ecosystem and generate consumption datasets. The position offers a collaborative environment where team members work closely with data scientists and data product managers. The ideal candidate will be involved in designing, developing, and maintaining C++ solutions, collaborating with cross-functional teams, and performing data analysis. The role requires strong C++ programming skills, curiosity about data collection and mobile development architecture, and the ability to work in a distributed team setting. The position provides an opportunity to work on large-scale systems and contribute to technical excellence through quality improvements and performance optimization. The team values collaboration, continuous learning, and innovation in solving complex technical challenges.

C++ Software Engineer position at Spotify focusing on playback ecosystem and data systems development, offering hybrid work in London or Stockholm.

C++ Engineer

A global music and audio streaming platform providing digital music, podcast and video services.

Join Spotify's Observability and Reliability Infrastructure team as a Backend Engineer II, where you'll be instrumental in building and maintaining their large-scale, distributed systems. This role focuses on providing coherent observability and reliability platforms for Spotify's microservice infrastructure, enabling teams to confidently operate their services.

As a Backend Engineer II, you'll work in an environment that values intellectual curiosity and problem-solving, with the support and mentorship needed to learn and grow. You'll be responsible for architecting, developing, and operating Java services, while also being a technical leader within Spotify's backend developer community.

The position offers exciting challenges in scaling and optimizing systems through automation, working with modern technologies like Kubernetes, Go, and various cloud services. You'll be part of a team that values sustainable incident response and blameless postmortems, contributing to Spotify's mission of delivering media worldwide.

Located in Toronto, this hybrid role provides an opportunity to work with a global team while maintaining work-life balance. You'll participate in regular hack days and bi-annual hack weeks, allowing you to explore innovative solutions and contribute to Spotify's technical evolution.

The ideal candidate combines strong technical expertise in distributed systems, Java development, and cloud services with excellent problem-solving and communication skills. If you're passionate about building reliable, scalable systems and want to impact how millions of users experience music and audio content, this role offers an exciting opportunity to shape the future of Spotify's infrastructure.

Backend Engineer II position at Spotify focusing on building and maintaining observability and reliability infrastructure for large-scale distributed systems.

Backend Engineer II - Platform

Spotify is a leading music and audio streaming platform.

We are looking for a Backend Engineer to join our Data Protection team and be a key player in ensuring that data at Spotify is appropriately protected. You will contribute to building a scalable data protection platform that ensures data across Spotify is appropriately protected, managed, and deleted when no longer needed. This is a highly impactful role where you'll develop systems that empower engineers across the company to efficiently deliver secure, reliable, and compliant solutions.

You'll design, build, and optimise backend services and data pipelines that support data retention, access, and deletion requirements, ensuring Spotify meets evolving privacy and regulatory standards. Collaborate with cross-functional teams to tackle challenging problems and implement solutions that scale to meet the needs of the entire organisation.

What You'll Do:
- Design, develop, and maintain backend services and data pipelines that enable the safe use of data across the company.
- Collaborate closely with globally distributed teams to implement solutions that scale to handle millions of requests per second.
- Utilise technologies such as Java, Scala, microservices, Google Cloud Platform (GCP), Dataflow, and Spanner.
- Participate in the operational responsibility for services, including being part of an on-call rotation for critical service at Spotify.
- Drive automation efforts to improve system efficiency, reliability, and scalability.
- Drive the optimization, testing, and tooling efforts to improve the quality of data and systems.
- Contribute to a culture of continuous learning, experimentation, and adopting new technologies.

Who You Are:
- You have at least two years professional experience working in a product-driven environment building production software.
- You know how to write distributed, high-volume services and have strong programming skills in Java and/or Scala.
- Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Dataflow, GCS, BigQuery and Spanner.
- Ability to work optimally in a remote-first, distributed team environment.
- A track record of designing and driving small to medium-scale automation projects autonomously.

Where You'll Be:
- For this role you will be in London or Madrid

Backend Engineer for Spotify's Data Protection team, building scalable platforms to ensure data security and compliance.

Backend Engineer - Platform

Spotify is a music and podcast streaming platform connecting artists and fans through personalized experiences.

The Personalization team at Spotify is seeking a Senior Machine Learning Engineer to join their innovative group. This role is crucial in enhancing the user experience by developing and implementing ML models for music recommendations on Spotify's Home surface.

Key Responsibilities:
- Build ML models for generating music recommendation candidates for Spotify's Home surface
- Develop ML models to order music content on carousel shelves
- Collaborate with a cross-functional team to create new user experiences
- Prototype and scale solutions for hundreds of millions of active users
- Conduct A/B testing to improve recommendation experiences
- Participate in an active community of machine learning practitioners
- Occasional on-call monitoring and troubleshooting of production ML systems

Ideal Candidate:
- Strong background in machine learning, especially in personalized algorithms and recommender systems
- Hands-on experience with production ML systems at scale (Java, Scala, Python; TensorFlow a plus)
- Familiarity with data pipeline tools (Apache Beam, Scio) and cloud platforms (GCP, AWS)
- Passion for agile processes, data-driven development, and disciplined experimentation
- Customer-centric approach to development

Work Environment:
- Distributed workforce with flexibility in work location within the Americas
- Option to work from home or office
- Eastern Standard time zone for collaboration
- Competitive base salary range of $171,903 - $245,575 plus equity
- Comprehensive benefits including health insurance, parental leave, 401(k), and more

Join Spotify's Personalization team to shape the future of music recommendations and keep millions of users engaged through personalized experiences.

Senior Machine Learning Engineer role at Spotify, focusing on personalization and music recommendations for the Home surface.

Spotify Engineering Jobs

A global music and audio streaming platform delivering personalized content to millions of users worldwide.