Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
To unlock the potential of human creativity by giving a million creators the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.
Life at Spotify
It doesn’t matter who you are, where you come from, or what music you love, at Spotify, you’ll be part of a brand that’s reimagining the entertainment industry. Our open collaborative environment and innovative, audacious brand gives you the opportunity to grow, have fun, and do your best work.
How we hire?
We hire people who are good at what they do. But just as important, are a good match for us.
Step 1: Apply
No cupcakes are needed. Or rap CVs or resumes either. Simply make it easy for us to see how great you are.
Step 2: Interview
Come prepared, ask us questions, and be sincere. Interviews are about finding a great match, for both sides.
Step 3: Decision
If you like what you see, and we like what we hear, we’ll officially invite you to join the band.
Architect, build, and evolve backend systems and pipelines that support personalization and recommendation services at scale. Collaborate with cross-functional teams to design reliable, performant services and define experimentation strategies for podcast discovery.
Lead and develop a multidisciplinary team of machine learning, data, and backend engineers while providing technical guidance on complex ML systems. Act as a bridge between technical teams and cross-functional stakeholders to ensure reliable delivery and alignment with business goals.
United States$164K - $234K per year5-10 yrs expOthers
Lead and develop a team of experienced engineers while fostering strong cross-functional relationships with product and design teams. Ensure healthy delivery of complex initiatives through effective prioritization, capacity management, and hands-on technical guidance.
Sweden, United Kingdom, United States2-5 yrs expOthers
Explore machine learning and AI opportunities at Spotify, contributing to personalization for music, podcasts, and audiobooks. Potential work spans recommendation systems, search and ranking, natural language understanding, generative AI, and audio analysis; the specific role and team will be determined based on the candidate’s background and interests.
Sweden, United Kingdom, United States0-2 yrs expOthers
Interns will work on real-world machine learning and AI problems at scale within Spotify's personalization and engineering teams. Responsibilities include contributing to recommendation systems, search, and generative AI initiatives.
Sweden, United Kingdom, United States2-5 yrs expOthers
Explore machine learning and AI opportunities at Spotify, contributing to work that personalizes music, podcasts, and audiobooks for listeners worldwide. Potential areas include recommendation systems, search and ranking, natural language understanding, generative AI, and audio analysis; the specific role and team will be determined based on the candidate’s background and interests.
United States$74000 - $106K per year2-5 yrs expWriting
You will identify and negotiate audiobook licensing agreements with independent publishers and authors to grow the Spotify catalog. Additionally, you will manage partner relationships and use data analytics to optimize catalog performance and discoverability.
You will build and maintain scalable backend infrastructure to support content retrieval, ranking, and filtering for personalized recommendation systems. You will also collaborate with cross-functional teams to design reliable services and improve system observability and performance.
You will own and improve machine learning models and systems that power the Spotify Home feed and Shortcuts experience. Additionally, you will drive technical direction, mentor engineers, and collaborate with cross-functional teams to build scalable, AI-powered recommendation experiences.
You will define and drive the machine learning engineering strategy for Discovery Mode and related royalty programs while designing and shipping scalable production systems. You will also collaborate with cross-functional teams to build product capabilities that strengthen connections between artists and fans.
You will lead the analytical function for the Discovery Mode ML squad, driving the evaluation and continuous improvement of measurement and optimization models. You will partner with engineers and product managers to design rigorous experiments and translate complex data findings into actionable product recommendations.
You will design, build, and optimize machine learning models and recommendation systems to enhance user experiences across Spotify's platforms. Additionally, you will mentor team members and drive technical strategy for personalization initiatives at a global scale.
Lead and develop a team of machine learning, backend, and data engineers while setting technical direction for personalization features. Partner with product and data science teams to deliver scalable machine learning systems and innovative generative AI capabilities.
You will build and maintain end-to-end features for Spotify's global subscription business, including backend services, web applications, and data platforms. You will also collaborate with cross-functional teams to design intuitive internal tools and ensure the reliability of business-critical systems.
United States$133K - $190K per year5-10 yrs expOthers
Conduct groundbreaking research in generative audio focusing on vocal synthesis, post-training alignment, and audio editing. Collaborate with cross-functional teams to develop artist-first AI music products and publish findings in the research community.
Conduct groundbreaking research in generative audio focusing on vocal synthesis, post-training alignment, and audio editing. Collaborate with cross-functional teams to develop artist-first AI music products and publish findings in the research community.
