Find Spotify Senior Software Engineer software engineering jobs

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 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.

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

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 leading music and podcast streaming platform innovating in audio technology.

Spotify is seeking a Senior Data Engineer to join their Speak team, which is the in-house text-to-speech (TTS) team supporting products like DJ, AI Voice Translation, and exciting new unreleased products. The role focuses on building world-class speech technologies that can power the next generation of personalized generative voice products at scale.

As a Senior Data Engineer, you'll be responsible for building large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam. You'll work on machine learning projects powering new generative AI experiences and help build state-of-the-art text-to-speech models. The role involves learning and contributing to the team's understanding of best practices and techniques for building data pipelines for large-scale generative models, including cleaning, filtering, classifying, and labelling.

You'll collaborate with other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities. The ideal candidate has strong Data Engineering experience, particularly with high-volume, heterogeneous data and distributed systems. Proficiency in Python and experience with data processing frameworks like Beam, Dataflow, or Spark is essential. 

This position offers the opportunity to work on cutting-edge speech technology projects in a dynamic, collaborative environment. You'll be part of a team that values quality, agile processes, and responsible experimentation. If you're passionate about data engineering, machine learning, and building innovative voice products, this role at Spotify could be an excellent fit for your career growth.

Senior Data Engineer role at Spotify, building large-scale speech and audio data pipelines for innovative text-to-speech products.

Spotify Senior Software Engineer Software Engineering Jobs

Find Spotify Senior Software Engineer software engineering jobs