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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 £ 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 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
✨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 a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source ML systems, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for the interview by understanding Spotify’s mission and values. Tailor your responses to show how your experience aligns with making listening effortless and joyful for users.
✨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 serious about joining the team.
We think you need these skills to ace Senior Staff Machine Learning Engineer, Content Platform
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 ML 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! Include specific examples of projects where you've built production-grade ML systems or worked with frameworks like PyTorch or TensorFlow. We love seeing real-world applications of your expertise!
Communicate Clearly: When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when it comes to complex topics like machine learning. Make it easy for us to understand your thought process and how you tackle challenges.
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!
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 can also 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. Highlight how you approached these challenges, the solutions you implemented, and the impact they 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 share examples of how you've collaborated with product, policy, or safety teams in previous roles. Discuss how you’ve operationalised content standards and ensured quality across platforms. This shows you can communicate effectively across technical and non-technical teams.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your understanding of machine learning systems, especially around automation and quality assurance. Brush up on your knowledge of evaluation metrics and system reliability. Being able to articulate your thought process will impress the interviewers and show your expertise.