Spotify
Machine Learning Engineer, Personalization
TLDR
Design and build machine learning systems that optimize ranking and sequencing, enhancing user experience for millions of Spotify listeners.
What You'll Do
Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
Work across ML, backend, and data layers to bring models into production
Contribute to scalable infrastructure supporting high-volume user interactions
Run experiments and use insights to continuously improve performance
Help shape technical direction and raise the bar for engineering excellence within the team
Who You Are
You have 5+ years of experience in machine learning, data, or backend engineering
You are experienced with production-grade systems and scalable architectures
You have worked on recommendation systems, ranking, or optimization problems
You bring a T-shaped skillset across ML, data, and backend domains
You are comfortable navigating ambiguity and solving complex problems
You care about user experience and measurable impact
You enjoy collaborating across disciplines and geographies
Where You'll Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Spotify is an audio streaming platform that delivers an extensive catalog of music, podcasts, and audiobooks, catering to hundreds of millions of users globally. It empowers artists by providing them with the means to monetize their creativity while offering fans unparalleled access to a diverse array of content, all driven by a passion for sound.
- Founded
- Founded 2006
- Employees
- 500+ employees
- Industry
- Media
- Total raised
- $2.6B raised
Machine Learning Engineer