At a Glance
- Tasks: Shape and scale machine learning systems for content understanding and decision-making.
- 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 globally.
- Qualifications: Experience in building production-grade ML systems and familiarity with modern frameworks.
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.
We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify.
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: Creandum Advisor LLP
At Spotify, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our London and Stockholm offices offer a dynamic work environment where employees are encouraged to grow through mentorship and continuous learning opportunities, all while contributing to meaningful projects that impact millions of users globally. With flexible working arrangements and a commitment to maintaining high standards of quality and safety in our content, we ensure that our team members feel valued and empowered to make a difference.
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 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Staff Machine Learning Engineer role. Highlight your experience with ML systems, especially in classification and moderation, as well as any work with multimodal content.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about shaping the future of content at Spotify. Share specific examples of how you've tackled complex problems in ML and how you can contribute to our mission of delivering safe, high-quality experiences.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially those that demonstrate your ability to build and scale ML systems.
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 Creandum Advisor LLP
✨Know Your ML Frameworks
Make sure you brush up on your experience with modern ML frameworks like PyTorch, TensorFlow, or JAX. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Content Lifecycle
Familiarise yourself with the full lifecycle of content at Spotify, from ingestion to distribution. Think about how your machine learning expertise can enhance content understanding and safety, and be prepared to share your ideas on this during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to tackle complex, ambiguous problems that have high impact. Prepare examples from your past work where you successfully navigated such challenges, focusing on your thought process and the outcomes achieved.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical teams, practice explaining your ideas in a clear and concise manner. Think about how you can convey complex concepts simply, ensuring everyone understands your vision for machine learning systems.
