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

Spotify, the world's leading audio streaming platform, is seeking a Senior Data Engineer to join their Advertising Product & Technology organization. This role is crucial in scaling Spotify's Free Product and Podcast Monetization Mission, working on product features, advertiser publishing tools, and reporting functionalities. The position offers an opportunity to work with distributed backend systems and build scalable solutions that impact millions of users worldwide.

The ideal candidate will be responsible for maintaining critical reporting pipelines, building large-scale data processing systems, and collaborating with cross-functional teams to develop complex technical solutions. You'll work with cutting-edge technologies and frameworks like GCP, AWS, Hadoop, and Apache Beam, while using programming languages such as Java and Scala.

This is an excellent opportunity for an experienced data engineer who wants to make a significant impact on how the world experiences music and podcasts. The role offers competitive compensation ($160,091-$228,702 plus equity), comprehensive benefits, and the flexibility to work remotely within the North American region. You'll be part of a diverse, inclusive workplace that values different perspectives and backgrounds.

The position requires strong technical skills in distributed systems, data processing, and software engineering, combined with excellent communication abilities. You'll work in an agile environment, focusing on data-driven development and responsible experimentation. If you're passionate about building scalable data solutions and want to be part of a company revolutionizing the audio streaming industry, this role at Spotify offers an exciting career opportunity.

Senior Data Engineer position at Spotify, building and maintaining large-scale data pipelines for advertising and podcast monetization, offering competitive salary and remote work flexibility.

Senior Data Engineer

A global music streaming and media services provider pioneering digital music streaming.

Spotify's Backstage team is seeking a Customer Success Engineer I to drive their developer portal philosophy among leading tech companies. This role combines technical expertise with business acumen and interpersonal skills, focusing on providing strategic guidance to customers and automating problem-solving. The position involves working with Spotify's commercial Backstage products and services, requiring a strong background in developer productivity, infrastructure, and technical consulting.

The role is based in London with a hybrid work arrangement, requiring 3 days per week in office. As part of a dynamic, startup-like team, you'll work alongside engineers, marketers, business developers, and product managers to drive a new technology-focused business line. The position demands expertise in modern web technologies like React, TypeScript, and Node.js, combined with strong customer relationship management skills.

This is an excellent opportunity for someone who wants to bridge the gap between technical development and customer success. You'll be responsible for both maintaining customer relationships and contributing to the open-source Backstage platform, making it ideal for engineers who enjoy both coding and client interaction. The role offers the chance to work with cutting-edge developer tools while helping shape the future of developer portals at enterprise scale.

Working at Spotify means joining one of the world's leading music streaming platforms, known for its innovative approach to technology and strong engineering culture. The company offers competitive benefits and the opportunity to impact how developers work across major tech companies through the Backstage platform.

Customer Success Engineer role at Spotify combining technical expertise with customer relationship management, focusing on the Backstage developer portal platform.

Customer Success Engineer I - Backstage

Spotify, the world's leading audio streaming platform, is seeking a Senior Machine Learning Engineer to join their Personalization (PZN) team. This role focuses on making music, podcast, and audiobook recommendations more enjoyable for hundreds of millions of listeners worldwide. The position combines technical leadership with hands-on ML development, working on products like Home, Search, and popular playlists such as Made For You, Discover Weekly, and Daily Mix.

The role requires expertise in machine learning, particularly in recommender systems, with a focus on designing and implementing large-scale ML solutions. You'll be working with cutting-edge technologies including TensorFlow/PyTorch and potentially Kubeflow and Ray, while leading technical projects and collaborating across teams.

As a technical leader, you'll mentor others while contributing to Spotify's ML community. The position offers competitive compensation ($176,166-$251,666 plus equity) and comprehensive benefits including health insurance, parental leave, and flexible time off. The role is remote-friendly within North America, operating in the Eastern time zone.

This is an excellent opportunity for experienced ML engineers who want to impact how millions of people discover and enjoy audio content while working with a diverse, inclusive team at a company that values innovation and creativity. Spotify's mission of connecting creators with audiences makes this role particularly meaningful for those passionate about both technology and digital media.

Senior Machine Learning Engineer position at Spotify, focusing on personalization and recommendation systems, offering competitive salary and remote work flexibility.

Senior Machine Learning Engineer, GenRecs, Personalization

World's most popular audio streaming subscription service, launched in 2008, focusing on music and podcasting.

Join Spotify's backend media transcoding team to impact over half a billion users globally by shaping their audio and video consumption. As a Senior Media Backend Engineer in the Content Platform team, you'll be working on processing all audio, video, and image content on the platform. The role involves building large-scale, high-performance cloud-based services using Rust, Python, and Java. You'll be part of a collaborative environment where technical expertise in media technologies, codecs, and system optimization is highly valued.

The position offers a unique opportunity to work with cutting-edge media processing technologies while solving complex challenges at scale. You'll be responsible for designing and maintaining critical backend services that power Spotify's media delivery infrastructure. The team values deep technical knowledge and encourages exploration of media technologies, from codec optimization to streaming protocols.

Working in either Stockholm or London, you'll enjoy a flexible hybrid work model that prioritizes actual work over performative actions. The role combines hands-on technical work with collaborative problem-solving, requiring both deep systems knowledge and media technology expertise. You'll be part of Spotify's mission to revolutionize audio streaming while working with a team that's passionate about media technology and high-performance computing.

This is an ideal position for someone who enjoys diving deep into technical details, optimizing performance at scale, and working with modern cloud infrastructure. You'll contribute to a platform that serves millions of users while having the opportunity to work with the latest in media processing technologies and cloud computing.

Senior Media Backend Engineer role at Spotify, focusing on building and optimizing large-scale media processing services using Rust, Python, and Java in a hybrid work environment.

Senior Media Backend Engineer - Content Platform

Spotify's Personalization (PZN) team is at the forefront of making music, podcast, and audiobook discovery more enjoyable for hundreds of millions of listeners worldwide. As a Senior Machine Learning Engineer on the GenRecs team, you'll be working on cutting-edge recommendation systems that power features like Home, Search, Made For You, Discover Weekly, and Daily Mix. This role combines technical leadership with hands-on ML engineering, requiring expertise in large-scale machine learning systems, model optimization, and distributed computing.

The position offers the flexibility to work remotely within North America, with collaboration centered in the Eastern time zone. You'll be joining a company that has revolutionized how the world listens to audio content since 2008, with a mission to enable both creators and listeners to thrive in the digital audio space.

The role demands a blend of technical expertise in ML systems, leadership capabilities, and practical experience with modern ML frameworks and infrastructure. You'll be working with state-of-the-art technologies including TensorFlow/PyTorch, Kubernetes, and specialized hardware for ML model training and inference. The position offers competitive compensation, comprehensive benefits, and the opportunity to impact how millions of people discover and enjoy audio content.

Spotify emphasizes inclusivity and diversity, welcoming talent from all backgrounds. The company offers extensive benefits, including flexible work arrangements, generous parental leave, and comprehensive healthcare, making it an attractive destination for top ML engineering talent looking to make a significant impact in the audio streaming industry.

Senior Machine Learning Engineer position at Spotify, focusing on recommendation systems and personalization, offering competitive salary and remote work flexibility.

Global music streaming and media services provider offering digital music, podcast and video services.

Spotify is seeking a Platform Engineer I to join their Hendrix ML Platform team, focusing on developing and maintaining their machine learning infrastructure. This role sits at the intersection of DevOps and Machine Learning, where you'll be responsible for building and maintaining the systems that power Spotify's ML capabilities. The team's mission is to create a robust, company-wide platform for training and serving machine learning models, making it easier for teams across Spotify to productionize AI and ML models.

As a Platform Engineer, you'll be hands-on with large-scale Kubernetes clusters, developing SDK tools, and collaborating with ML Engineers and researchers. The role requires both technical expertise in ML infrastructure and the ability to work collaboratively with various teams. You'll be based in Toronto with a hybrid work arrangement, offering flexibility while maintaining opportunities for in-person collaboration.

This is an excellent opportunity for someone early in their ML infrastructure career, with at least one year of experience, to join a leading global technology company. You'll work with cutting-edge ML technologies and tools while contributing to systems that impact millions of users worldwide. The role offers a blend of independent work and team collaboration, with opportunities to learn and grow while working on challenging problems in ML infrastructure.

The ideal candidate will bring experience with Python or Go, understanding of ML fundamentals, and familiarity with modern ML tools and frameworks. You'll be part of a team that values reliable, testable, and maintainable solutions, following industry best practices in software development.

Entry-level Platform Engineer role at Spotify, focusing on ML infrastructure, requiring 1+ years of experience with Python/Go and ML technologies.

Platform Engineer I - Machine Learning Infrastructure

Global music and audio streaming platform serving 700M+ users worldwide.

Spotify's User Platform (UP) studio, part of the SAFE Alliance within the Platform Mission, is seeking their first Machine Learning Engineer to enhance their mission of connecting Users with Spotify. This role is crucial in managing Customer Identity and Access Management infrastructure that serves over 700M+ users globally. The position focuses on bootstrapping the studio's ML capabilities, particularly in user identity confidence and safety features.

As a Senior Machine Learning Engineer, you'll lead the development of ML models while collaborating with a diverse team including user researchers, designers, data scientists, and product managers. You'll be responsible for prototyping and productionizing solutions that directly impact hundreds of millions of active users. The role combines technical expertise in machine learning with practical implementation skills, requiring both theoretical knowledge and hands-on experience with production systems.

The position offers the flexibility of working from either London or Stockholm in a hybrid setup, allowing for both remote work and in-person collaboration. You'll be joining a company at the forefront of global audio streaming, working on critical infrastructure that ensures secure and personalized user experiences. This is an opportunity to shape the future of user identity and access management at scale while working with cutting-edge ML technologies and contributing to a platform that serves millions of users worldwide.

Senior Machine Learning Engineer role at Spotify, focusing on user identity and access management, requiring 6+ years of ML experience, based in London or Stockholm.

Senior Machine Learning Engineer - User Platform

Global music and audio streaming platform transforming the way people access and enjoy music.

Join Spotify's Security team as a Backend Engineer I in their Product Security area. This role offers an exciting opportunity to build innovative security products and tools that protect Spotify's vast ecosystem. As part of the Security studio, you'll be instrumental in embedding security into the development lifecycle and tackling complex challenges at scale.

The position combines backend engineering with security expertise, requiring skills in both traditional backend development and modern frontend technologies. You'll work with technologies like Java, Scala, React, and TypeScript to develop robust security infrastructure and tooling. The role offers a perfect blend of technical challenge and security focus, making it ideal for engineers interested in the cybersecurity domain.

Spotify offers a flexible hybrid work environment, requiring only three days per week in the office, either in London or Stockholm. You'll be part of a collaborative team focused on building solutions for engineers while contributing to Spotify's technical security strategy. This is an excellent opportunity for early-career engineers to grow their skills in both software development and security engineering at one of the world's leading technology companies.

The role demands a combination of technical skills and security awareness, with opportunities to work on scalable solutions that impact Spotify's global platform. You'll be part of shaping the next generation of security at Spotify while working alongside talented engineers in a culture that values innovation and collaboration.

Entry-level Backend Security Engineer role at Spotify, focusing on building security products and tools, requiring 1+ years of programming experience and security interest.

Backend Engineer I, Security

Spotify's Personalization team is seeking a Senior Machine Learning Engineer to join their innovative group that powers beloved features like Blend and Discover Weekly. This role sits at the intersection of recommendations and long-term user satisfaction, working to make music and podcast discovery more enjoyable for millions of listeners. The position offers the opportunity to work with cutting-edge ML technologies, collaborating with research scientists and data scientists to prototype and productize state-of-the-art recommendation systems.

The role involves hands-on development of ML systems at scale, focusing on reward signals for recommendations and their integration across various systems. You'll be working with modern technologies including transformer architectures, sequential models, and distributed computing frameworks. The position requires expertise in languages like Python, Java, or Scala, and familiarity with major ML frameworks and cloud platforms.

Spotify offers a competitive base salary range of $176,166 - $251,666 plus equity, along with comprehensive benefits including health insurance, six months of paid parental leave, and generous PTO. The company embraces remote work, allowing flexibility within the North American region, though team collaboration occurs in the Eastern Standard time zone.

As part of Spotify's commitment to innovation and inclusivity, you'll join a diverse team that's revolutionizing how the world listens to music and podcasts. The company serves millions of users and supports countless artists, making it an exciting opportunity for those passionate about combining machine learning with music and content recommendation at scale.

The ideal candidate will bring both technical expertise and leadership qualities, helping to shape best practices in ML systems development while working on projects that directly impact user experience. This role offers the perfect blend of technical challenge, creative problem-solving, and the opportunity to influence how millions of people discover and enjoy content on Spotify.

Senior Machine Learning Engineer position at Spotify, focusing on recommendation systems and user satisfaction, offering competitive salary and benefits with remote work flexibility.

Senior Machine Learning Engineer, Rewards

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

Join Spotify's Safe-and-Sound team as a Senior Machine Learning Engineer in their Personalization division. This role combines cutting-edge ML technology with real-world impact, focusing on making Spotify safe and enjoyable for millions of listeners worldwide. As part of the team, you'll work on crucial features like podcast recommendations and AI Playlists, building Responsible AI solutions that understand music, podcasts, and users at a deep level.

The position offers an exciting opportunity to work with cross-functional teams in a fast-paced environment, where you'll design and implement ML solutions that directly impact hundreds of millions of active users. You'll be at the forefront of developing safety features in Spotify's personalization products, using advanced technologies like natural language processing and generative AI.

The role requires expertise in implementing end-to-end production ML systems at scale, with experience in languages like Java, Scala, and Python. You'll work with modern ML frameworks such as PyTorch and TensorFlow, and handle large-scale data processing using tools like Apache Beam and Spark. The position is based in New York with flexible remote work options, offering a competitive salary range of $176,166-$251,666 plus equity.

This is an ideal opportunity for an experienced ML practitioner who wants to make a significant impact on how millions of people discover and enjoy music and podcasts. You'll be part of a collaborative community of ML practitioners across Spotify, working on complex real-world problems while helping to shape the future of personalized content delivery. The role comes with comprehensive benefits including health insurance, generous parental leave, and retirement plans, making it an attractive position for those seeking both technical challenges and work-life balance.

Senior Machine Learning Engineer position at Spotify focusing on personalization and safety features for music and podcast recommendations.

Senior Machine Learning Engineer, Personalization

A global music streaming platform that's revolutionizing how people listen to and discover music.

Join Spotify's Backstage team as a Site Reliability Engineer and help shape the future of developer platforms. Backstage, born from Spotify's internal needs, has evolved into a revolutionary force in the developer portal space, serving engineering teams worldwide. This role offers a unique opportunity to work on cloud infrastructure that powers a product used by engineering teams globally.

As an SRE, you'll be instrumental in building and maintaining the reliable, secure, and scalable infrastructure behind our external developer portal product. Working with cutting-edge technologies like GCP, AWS, Terraform, TypeScript, and React, you'll tackle real-world challenges in scale, observability, and security. The position combines the excitement of a startup environment with the resources and reach of Spotify's established platform.

The role demands expertise in cloud infrastructure, distributed systems, and modern programming languages. You'll participate in on-call rotations, collaborate with security teams, and contribute to operational tooling that enhances service deployment and monitoring. While primarily focused on infrastructure, familiarity with fullstack systems is valuable as you'll work with a modern web stack.

Benefits include competitive compensation ($125,562 - $179,374 plus equity), comprehensive health insurance, generous parental leave, retirement plans, and flexible work arrangements. Based in New York with a hybrid work model, this position offers the perfect balance of collaborative in-person interaction and remote work flexibility.

Join us in revolutionizing developer experiences and be part of a team that's setting new standards in developer tooling across the industry. Your work will directly impact millions of developers and help shape the future of developer platforms.

Join Spotify as a Site Reliability Engineer for Backstage, building and maintaining cloud infrastructure for a globally-used developer platform. NYC-based, hybrid role with competitive benefits.

Site Reliability Engineer, Backstage

World's most popular audio streaming subscription service, launched in 2008.

The Personalization team at Spotify is seeking a Staff Machine Learning Engineer to join their GenRecs team, focusing on revolutionizing how users discover and enjoy music and podcasts. This role sits at the cutting edge of Generative AI and recommendation systems, working on products that serve hundreds of millions of users daily. The position offers an opportunity to shape the future of personalized content delivery through advanced ML techniques and generative AI technologies.

The role combines deep technical expertise in machine learning with strategic product development, requiring collaboration across multiple disciplines including user research, design, and data science. You'll be working on innovative products like Discover Weekly, Daylist, and AI DJ, while helping to define the next generation of Spotify's recommendation capabilities.

As a Staff ML Engineer, you'll lead technical strategy development, implement large-scale ML systems, and drive best practices in model development. The position requires expertise in production-grade ML systems, preferably with experience in frameworks like PyTorch, Tensorflow, or JAX. You'll be working with transformer models and helping scale solutions for Spotify's massive user base.

The compensation package is competitive, ranging from $215,136 to $307,337 plus equity, with comprehensive benefits including health insurance, parental leave, and retirement plans. The role offers remote work flexibility within North America, with collaboration centered in the Eastern Standard time zone. This is an excellent opportunity for an experienced ML engineer passionate about combining cutting-edge technology with practical user impact at global scale.

Staff Machine Learning Engineer position at Spotify focusing on generative AI and recommendation systems, offering competitive compensation and remote work flexibility.

Spotify Engineering Jobs

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