At a Glance
- Tasks: Build and scale ML systems for content understanding and safety across Spotify.
- Company: Join Spotify's innovative Content Platform team shaping the future of audio content.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on cutting-edge technology.
- Why this job: Make a real impact on how millions experience music and podcasts globally.
- Qualifications: Strong ML experience with frameworks like PyTorch or TensorFlow; passion for data quality.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 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.
What the job involves
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.
- 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.
Senior Staff Machine Learning Engineer (Content Platform) in London employer: Deepstreamtech
At Spotify, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Staff Machine Learning Engineer, you will have the opportunity to work on cutting-edge technology in a dynamic environment that values creativity and growth. With a commitment to employee development, competitive benefits, and a focus on maintaining a diverse and inclusive workplace, Spotify is dedicated to ensuring that every team member can thrive while making a meaningful impact on millions of listeners worldwide.
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 or similar companies. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using PyTorch, TensorFlow, or JAX. This will give potential employers a taste of what you can do and how you think about complex problems.
✨Tip Number 3
Prepare for interviews by brushing up on system design and ML concepts. Be ready to discuss how you balance automation with quality and safety, as well as your experience with multimodal machine learning.
✨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 our team at StudySmarter.
We think you need these skills to ace Senior Staff Machine Learning Engineer (Content Platform) in London
Some tips for your application 🫡
Show Off Your Experience:When you're writing your application, make sure to highlight your experience with building production-grade machine learning systems. We want to see how you've tackled complex problems and what frameworks you've used, like PyTorch or TensorFlow.
Connect the Dots:Don’t just list your skills; explain how they connect to the role. We’re looking for someone who thinks in systems, so show us how your past work has influenced platform-level outcomes and user experiences.
Be Clear and Concise:Communication is key! Make sure your application is clear and easy to read. We want to see how you can influence both technical and non-technical teams, so keep it straightforward and engaging.
Apply Through Our Website:Finally, don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨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, and how they helped you build production-grade machine learning systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex, ambiguous problems you've tackled in the past. Highlight how you approached these challenges, the systems you designed, and the impact of your solutions on user experience and data quality.
✨Communicate Clearly
Since this role involves influencing 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, as this will demonstrate your ability to bridge gaps between different stakeholders.
✨Emphasise Collaboration
Be ready to discuss your experience working with cross-functional teams, especially in areas like product, policy, and trust & safety. Share examples of how you've collaborated to operationalise content standards and improve automation while maintaining high quality.
