At a Glance
- Tasks: Lead the development of machine learning systems for content safety and policy enforcement.
- Company: Join Spotify, the world's leading audio streaming service with a focus on innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic team with a commitment to trust and safety.
- Why this job: Make a real impact on how millions enjoy safe and high-quality content.
- Qualifications: Experience in building scalable ML systems and strong communication skills.
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 investing in systems that ensure content remains safe, compliant, and high quality.
We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators.
What You Will Do
- Define & drive machine learning strategy for safety, policy enforcement, and compliance systems
- Build and scale ML systems for detection, classification, and risk assessment across content
- Develop automated decisioning systems that ensure consistent, reliable enforcement of policies
- Design systems that support real-time and large-scale content evaluation
- Collaborate with product, policy, and trust & safety teams to operationalize content standards
- Improve automation to reduce manual intervention, maintaining high quality and safety standards
- Drive best practices in evaluation, fairness, and system reliability
- Mentor engineers and contribute to technical direction across teams
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 similar
- You have worked on systems where ML outputs influence real-world decisions
- You understand how to design systems that balance automation with safety and user experience
- You are comfortable working on complex, ambiguous problems with high impact
- You think in systems and understand how models connect to platform-level outcomes
- You care 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 Policy & Safety in London employer: Spotify
Spotify is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Staff Machine Learning Engineer. With a commitment to employee growth, Spotify offers opportunities to work on cutting-edge technology in a flexible environment, whether in London or Stockholm. The company prioritises safety and quality in content, ensuring that employees contribute to meaningful projects that impact millions of users worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Machine Learning Engineer - Content Policy & Safety 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 and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your machine learning projects. This is your chance to demonstrate how you tackle complex problems and build production-grade systems.
✨Tip Number 3
Prepare for interviews by brushing up on your ML frameworks like PyTorch and TensorFlow. Be ready to discuss how you've used them in real-world scenarios—this will show you're not just theory but practical too!
✨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 being part of the Spotify team.
We think you need these skills to ace Senior Staff Machine Learning Engineer - Content Policy & Safety 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 ML systems, especially those that impact real-world decisions, and show how you can contribute to our mission at Spotify.
Showcase Your Skills:Don’t just list your skills—demonstrate them! Use specific examples from your past work where you've built production-grade ML systems or improved automation. This will help us see how you think in systems and tackle complex problems.
Be Clear and Concise:When writing your application, clarity is key. We want to understand your thought process and how you communicate across technical and non-technical teams. Keep it straightforward and avoid jargon where possible.
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’s super easy to do!
How to prepare for a job interview at Spotify
✨Know Your ML Frameworks
Make sure you’re well-versed in modern machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with these tools and how you've applied them in real-world scenarios, especially in building production-grade systems.
✨Understand Content Safety
Familiarise yourself with content safety, policy enforcement, and compliance systems. Prepare examples of how you've tackled similar challenges in the past, focusing on how you ensured high-quality and safe content while balancing automation and user experience.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss complex, ambiguous problems you've faced and how you approached solving them. Highlight your thought process and the impact of your solutions, especially in relation to system reliability and data quality.
✨Communicate Effectively
Since this role involves collaboration across technical and non-technical teams, practice articulating your ideas clearly. Think about how you can influence others and convey complex concepts in a way that everyone can understand.
