At a Glance
- Tasks: Design and build machine learning systems for personalised music recommendations.
- Company: Join Spotify's innovative Personalization team, shaping the future of music discovery.
- Benefits: Flexible work options, extensive learning opportunities, and generous parental leave.
- Other info: Inclusive culture that values diverse perspectives and offers excellent career growth.
- Why this job: Make a real impact on millions of users' listening experiences with cutting-edge technology.
- Qualifications: 5+ years in machine learning or backend engineering, with experience in recommendation systems.
The predicted salary is between 70000 - 90000 € per year.
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.
Samba sits at the heart of Spotify's personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business.
Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.
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
- 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
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!
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.
Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs.
Machine Learning Engineer, Personalization in London employer: Spotify AB
Spotify is an exceptional employer that champions inclusivity and innovation, making it a fantastic place for a Machine Learning Engineer in Personalization. With a strong focus on employee growth through extensive learning opportunities and flexible work arrangements, you will thrive in a collaborative environment that values diverse perspectives. Enjoy the unique advantage of working in vibrant cities like London or Stockholm, where you can contribute to impactful projects while maintaining a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer, Personalization in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your machine learning projects. This is your chance to demonstrate your expertise in ranking and optimization—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect to tackle complex scenarios related to personalization and user experience. Practice makes perfect, so get into a good groove!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Machine Learning Engineer, Personalization in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your experience with recommendation systems and any relevant projects you've worked on. We want to see how you can contribute to our personalization team!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working at Spotify and how your background in machine learning and backend engineering makes you a great fit for our team. Let us know what makes you tick!
Showcase Your Projects:If you've worked on any interesting machine learning projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that involve optimization and user experience. This is your chance to shine!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about joining our team. We can't wait to see what you bring to the table!
How to prepare for a job interview at Spotify AB
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems and optimization problems. Be ready to discuss your past projects and how they relate to the role at Spotify.
✨Show Your Collaborative Spirit
Spotify values teamwork, so be prepared to talk about how you've worked with cross-functional teams in the past. Share examples of how you aligned goals and delivered impactful solutions together.
✨Emphasise User Experience
Since this role is all about personalisation, highlight your understanding of user experience. Discuss how your work has positively impacted users and how you balance user satisfaction with business outcomes.
✨Be Ready for Problem-Solving
Expect some technical questions that test your problem-solving skills. Think through complex scenarios related to ML, backend, and data layers, and be ready to explain your thought process clearly.
