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

A global music and podcast streaming platform that provides personalized listening experiences to millions of users.

Join Spotify's Personalization team, the innovative force behind beloved features like Blend and Discover Weekly. As a Machine Learning Engineer, you'll be part of a team that shapes how millions of users discover and enjoy music and podcasts. You'll work on developing and implementing ML systems that connect new and emerging creators with their ideal audience through sophisticated recommendation algorithms. The role offers a unique blend of technical challenges and creative problem-solving, working with cutting-edge ML technologies and large-scale data systems. You'll collaborate with research scientists, engineers, and product managers in an agile environment, focusing on building and optimizing recommendation systems that power personalized user experiences. The position offers hybrid work flexibility while being based in a vibrant European tech hub. This is an opportunity to impact how millions of users interact with content daily, working with one of the world's leading music streaming platforms. The role requires strong ML expertise, practical experience with large-scale systems, and a passion for creating data-driven solutions that enhance user experiences. You'll be part of a team that values innovation, collaboration, and continuous learning, working on projects that directly influence how people discover and enjoy entertainment content.

Mid-level Machine Learning Engineer position at Spotify, focusing on personalization and recommendation systems, offering hybrid work in London.

Machine Learning Engineer - Personalization

A global audio streaming platform offering music and podcasts with personalized advertising technology.

Spotify is seeking a Senior Machine Learning Engineer to join their Supply Personalization team, focusing on optimizing ad experiences through advanced ML techniques. This role combines cutting-edge machine learning with large-scale engineering systems to enhance both user experience and business outcomes. The position offers an opportunity to work on strategic initiatives that directly impact Spotify's advertising technology platform.

The role involves designing and implementing ML systems for continuous optimization, working with multiple objectives, and collaborating across engineering, product, and business teams. You'll be instrumental in analyzing user behavior and improving ad experiences through data-driven approaches and experimentation.

The ideal candidate should have strong expertise in applied machine learning, software engineering, and data analysis, with proficiency in languages like Python, Java, or Scala. Experience with adtech, recommender systems, or optimization problems is valued. The position offers competitive compensation, comprehensive benefits, and the flexibility to work remotely within the Americas region.

Working in the Supply Personalization team, you'll be at the forefront of developing sophisticated solutions that balance user experience with business objectives. This is an excellent opportunity for someone who enjoys tackling complex problems, values experimentation, and wants to make a significant impact on how millions of users experience advertising on Spotify.

Senior Machine Learning Engineer position at Spotify, focusing on advertising technology optimization through ML, offering competitive salary and remote work flexibility.

Senior Machine Learning Engineer - AdTech

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

Backend Engineer

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

Spotify, the world's leading audio streaming platform, is seeking a Causal Machine Learning Research Scientist intern for Summer 2025. This paid 10-week internship offers a unique opportunity to work at the intersection of causal inference and machine learning, helping unlock human creativity through innovative research and practical applications.

The role involves conducting cutting-edge research in causal inference and applying these techniques to improve decision-making across Spotify's products. As part of an interdisciplinary team, you'll collaborate with various experts to reshape existing products and develop new ones while contributing to the wider research community through publications.

The ideal candidate should be pursuing a Ph.D. in a relevant field with a focus on causal inference, having published in top-tier conferences. Technical proficiency in programming languages and ML frameworks is essential, along with strong data analysis and problem-solving skills.

This hybrid position is based in London, requiring 3 days per week in office, allowing interns to fully immerse in Spotify's culture through various networking events and collaborative opportunities. The internship runs from June to August 2025, offering hands-on experience in applying causal inference to real-world problems at a company that has revolutionized the music industry.

Spotify values diversity and inclusion, welcoming candidates from all backgrounds to contribute their unique perspectives to their mission of connecting creators with billions of fans worldwide.

Summer 2025 PhD internship opportunity at Spotify focusing on causal machine learning research and implementation.

2025 Summer Internship, Causal Machine Learning Research Scientist - PhD

Global music and audio streaming platform leader revolutionizing digital content delivery.

Spotify is seeking a Senior Analytics Engineer to join their Personalization Surfaces Data Science team, focusing on personalization and insights across user-facing surfaces including Home, Search, and Promotions platform. This role is crucial in supporting hundreds of millions of users' content discovery and engagement. The position involves leading the team's data and pipeline strategy, ensuring reliable data access for data scientists, and collaborating across the organization to improve data quality and workflows. The ideal candidate will design scalable data pipelines, implement efficient data management practices, and work closely with data scientists to develop robust metrics and monitoring systems. This role offers the opportunity to directly impact user experience through data-driven insights while working with cutting-edge technologies in a dynamic, global environment. The position combines technical expertise with strategic thinking, requiring both hands-on development skills and the ability to influence cross-functional teams. Working at Spotify means joining a company at the forefront of digital music and content delivery, with a strong focus on data-driven decision making and user personalization.

Senior Analytics Engineer role at Spotify focusing on data pipeline strategy and implementation for personalization features, working with dbt and cloud technologies.

Senior Analytics Engineer - Personalization

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 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

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

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.

Spotify Engineering Jobs

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