Machine Learning Engineering Manager II
Required skills
- Machine Learning
- Backend Engineering
- Data Engineering
- Personalization
- Recommendations
- Autoplay
- Radio
- Mixes
- Multi-objective balancing
- Sequencing
Role summary
Spotify is seeking an Engineering Manager for its Personalization team, specifically the Samba team, which focuses on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. The role involves leading and growing a team of machine learning, backend, and data engineers, shaping technical strategy, and guiding the development of recommendation systems. The manager will collaborate with product and engineering partners, support technical decisions on experimentation, scalability, and reliability, and foster an inclusive team culture. This position influences how millions of users experience Spotify through great recommendations.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business.
The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.
We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify.
What You'll Do
Who You Are
Where You'll Be
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.
Sample Spotify interview questions
- 1
Design a Spotify friends activity feed
system designaverage - 2
Design an Ad Banner Delivery System
system designmedium - 3
Design a data pipeline for Spotify's recommendations.
system designaverage - 4
Design a system for real-time stock market data.
system designmedium - 5
Design a playlist image system
system designmedium
Get started to unlock a personalized interview prep pack for this role.
Similar roles
- Data Scientist - Discovery ModeSpotify · Remote · Remote
- Security Engineer - Product SecuritySpotify · Remote · Remote
- MLO Engineer (Machine Learning Operations)Stratolaunch · Mojave, CA · Onsite
- A(Senior) Machine Learning ScientistAbiologics · Watertown, MA · Onsite
- (Senior) Machine Learning ScientistFlagship Pioneering · Watertown · Onsite
- Staff Machine Learning EngineerPathAI · 1325 Boylston Street · Hybrid
