At a Glance
- Tasks: Create AI systems that personalise listening experiences and understand cultural trends.
- Company: Join Spotify's innovative team in London, shaping the future of music.
- Benefits: Flexible work options, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on how millions enjoy music through cutting-edge AI technology.
- Qualifications: Strong experience in machine learning models and collaborative AI/ML systems.
The predicted salary is between 70000 - 90000 € per year.
Spotify in London is seeking experienced professionals for the Personalization team within the AI Foundation. This role focuses on creating systems that help understand cultural trends, integrating them into personalized listening experiences.
A successful candidate will have a strong background in building machine learning models and AI/ML systems, particularly within collaborative settings. The position offers flexibility with opportunities to work in-person and from home.
Spotify values inclusivity and encourages applicants from all backgrounds.
Senior ML Engineer - Personalization & Agentic AI employer: Spotify
Spotify is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the vibrant city of London. Employees benefit from flexible working arrangements, a commitment to inclusivity, and ample opportunities for professional growth in the rapidly evolving field of AI and machine learning. Join us to be part of a team that not only values your contributions but also encourages you to explore and develop your skills in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Personalization & Agentic AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to personalization and AI. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on collaborative projects. Spotify loves teamwork, so be ready to discuss how you've worked with others to build ML models and tackle challenges together.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Spotify family.
We think you need these skills to ace Senior ML Engineer - Personalization & Agentic AI
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning models and AI/ML systems in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your work can contribute to creating personalised listening experiences at Spotify. We love seeing candidates who take the time to connect their skills to our mission!
Be Yourself:Spotify values inclusivity, so let your personality shine through in your application. Share your unique perspective and experiences that make you a great fit for the team. We’re looking for authenticity as much as we are for qualifications!
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 you’re serious about joining our team!
How to prepare for a job interview at Spotify
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain the algorithms you've used, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Showcase Collaborative Projects
Since this role involves working in collaborative settings, come ready to share examples of successful team projects. Highlight your role, how you contributed, and what you learned from working with others. This will demonstrate your ability to thrive in a team environment.
✨Understand Cultural Trends
Familiarise yourself with current cultural trends and how they can influence personalisation in AI. Be ready to discuss how you would integrate these trends into listening experiences. This shows that you’re not just technically skilled but also aware of the broader context.
✨Ask Insightful Questions
Prepare thoughtful questions about Spotify's approach to personalisation and AI. This not only shows your interest in the role but also gives you a chance to assess if the company culture aligns with your values, especially regarding inclusivity.
