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- Tasks: Shape machine learning strategies and build intelligent systems for content understanding.
- Company: Join Spotify, a leader in creating effortless and joyful listening experiences.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and quality.
- Why this job: Make a real impact on how millions enjoy music and podcasts worldwide.
- Qualifications: Experience in building ML systems and familiarity with frameworks like PyTorch or TensorFlow.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.
What You Will Do
- Shape the machine learning strategy for content understanding and platform-level decisioning
- Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
- Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
- Design and deploy models across text, audio, image, and video domains
- Build systems that enable controlled, reliable access to content and metadata for downstream applications
- Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
- Improve automation to reduce manual intervention while maintaining high standards of trust and quality
- Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design
Who You Are
- You have strong experience building production‑grade machine learning systems at scale
- You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
- You have worked with or are interested in multimodal machine learning
- You understand how to design systems that balance automation with quality, safety, and user experience
- You are comfortable working on complex, ambiguous problems with high impact
- You think in systems, connecting models to platform-level outcomes and user experiences
- You care deeply about data quality, evaluation rigor, and system reliability
- You communicate clearly and influence across technical and non‑technical teams
Where You Will 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.
Senior Staff Machine Learning Engineer, Content Platform in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Machine Learning Engineer, Content Platform 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 that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your machine learning expertise, make sure to share them during interviews or networking events.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML frameworks like PyTorch or TensorFlow. Practice coding challenges and system design questions to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Staff Machine Learning Engineer, Content Platform in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Staff Machine Learning Engineer role. Highlight your experience with machine learning systems and how it aligns with our mission at Spotify. We want to see how you can contribute to making listening effortless and joyful!
Showcase Your Skills: Don’t just list your skills—demonstrate them! Use specific examples from your past work that showcase your expertise in building production-grade ML systems. We love seeing how you've tackled complex problems and improved user experiences through your work.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and passion for the role without wading through fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you're at it!
How to prepare for a job interview at Spotify
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of modern ML frameworks like PyTorch, TensorFlow, or JAX. Be ready to discuss your experience with these tools and how you've used them to build production-grade systems. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've tackled in the past, especially those related to machine learning and content management. Use specific examples to illustrate how you approached these challenges and what impact your solutions had. This will demonstrate your ability to think critically and connect models to real-world outcomes.
✨Emphasise Collaboration
Since this role involves working with various teams, be ready to discuss your experience collaborating with product, policy, and safety teams. Highlight any instances where you’ve successfully influenced non-technical stakeholders or helped bridge gaps between technical and non-technical teams.
✨Focus on Quality and Trust
Given the importance of content quality and integrity at Spotify, prepare to discuss how you've ensured high standards in your previous projects. Talk about your approach to data quality, evaluation rigor, and how you balance automation with user experience. This will show that you care about the end-user and the overall mission of the company.