Staff Machine Learning Engineer - Content Intelligence

Spotify; Stockholms kommun; Hybrid; SEK 758,478 - 1,300,249; Full time

Job summary

Spotify is looking for a Staff Machine Learning Engineer in Stockholm to build scalable ML systems for understanding music, podcasts, and more. The ideal candidate has experience in deploying ML systems and working with large datasets. Responsibilities include developing models for content enrichment and collaborating with various teams to improve automation and quality. This role offers flexibility with remote work options and occasional in-person meetings.

Qualifications

• Experience building and deploying machine learning systems in production.
• Comfortable working with ML frameworks like PyTorch or TensorFlow.
• Experience with large datasets and focus on data quality.
• Interest in multimodal machine learning.
• Ability to design systems balancing automation and quality.
• Comfortable tackling complex problems with evolving requirements.
• Understanding of how models impact product outcomes.
• Clear communication across technical and non-technical teams.

Responsibilities

• Build and scale ML systems for content understanding.
• Develop models for classification and content enrichment.
• Create content enrichment using LLMs and agentic systems.
• Design systems for content intelligence signals.
• Improve content quality automation and metadata enrichment.
• Collaborate with teams to translate content intelligence.
• Contribute to evaluation frameworks and data pipelines.
• Support rapid experimentation for new content signals.
• Enhance system reliability and performance on large datasets.

Skills

Machine learning systems

PyTorch

TensorFlow

Large datasets

Data quality

Multimodal machine learning

System design

Clear communication

Job description

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 Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images—enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.

What You Will Do

• Build and scale machine learning systems that generate deep understanding of content across modalities
• Develop models for classification, tagging, semantic understanding, and content enrichment
• Create high quality content enrichment at scale using LLMs and agentic systems.
• Design systems that make content intelligence signals available to downstream teams and products
• Improve automation for content quality, safety, and metadata enrichment at scale
• Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
• Contribute to evaluation frameworks, data pipelines, and annotation systems
• Support rapid experimentation to prototype and launch new types of content signals
• Help improve system reliability, scalability, and performance across large datasets

Who You Are

• You have experience building and deploying machine learning systems in production
• You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
• You have experience working with large datasets and care about data quality and evaluation
• You are interested in or have worked with multimodal machine learning
• You understand how to design systems that balance automation with quality and user experience
• You are comfortable working on complex problems with evolving requirements
• You think in systems and understand how models connect to product outcomes
• You communicate clearly and work well 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.