Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build interactive features using advanced machine learning systems.
- Company: Join Spotify, a leader in music and podcast streaming.
- Benefits: Flexible work options, inclusivity, and support throughout the hiring process.
- Other info: Be part of a dynamic team shaping the future of audio entertainment.
- Why this job: Revolutionise user experiences with generative AI in a creative environment.
- Qualifications: Expertise in machine learning and collaborative problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Spotify is seeking a Machine Learning expert to join the Personalization team. In this role, you'll design and build interactive features that enhance user experiences using advanced ML systems. Collaborate across teams to develop innovative solutions leveraging generative AI.
We offer work flexibility within the European region, and a commitment to inclusivity and support throughout the hiring process. Join Spotify and contribute to revolutionizing how the world listens to music and podcasts.
ML Engineer - Personalization & Generative AI at Scale in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer - Personalization & Generative AI at Scale in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Spotify on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those related to personalization and generative AI. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML algorithms and coding skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Spotify team and contributing to their mission.
We think you need these skills to ace ML Engineer - Personalization & Generative AI at Scale in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation in ML and how you can contribute to our team at Spotify. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working across teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you can bring people together to create innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Spotify
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those related to personalization and generative AI. Be prepared to discuss algorithms, models, and their applications in real-world scenarios. This will show that you have a solid foundation and can contribute effectively to the team.
✨Showcase Your Projects
Bring examples of your previous work that demonstrate your skills in building interactive features using ML. Whether it's a personal project or something from a past job, be ready to explain your thought process, the challenges you faced, and how you overcame them. This gives insight into your problem-solving abilities.
✨Collaborative Mindset
Spotify values collaboration, so be prepared to discuss how you've worked with cross-functional teams in the past. Share specific examples of how you’ve contributed to team projects and how you handle feedback. This will highlight your ability to work well with others and adapt to different perspectives.
✨Stay Updated on Trends
The field of ML is constantly evolving, especially with advancements in generative AI. Make sure to stay updated on the latest trends and technologies. Mentioning recent developments during your interview can demonstrate your passion for the field and your commitment to continuous learning.